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Tzung-Pei Hong

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affiliation: National University of Kaohsiung, Department of Computer Science and Information Engineering, Taiwan

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2024
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Tzung-Pei Hong, Jin-Hang Wu, Ja-Hwung Su, Tang-Kai Yin:
Conditional-GAN-Based Face Inpainting Approaches With Symmetry and View-Degree Utilization. IEEE Access 12: 87467-87478 (2024)
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Tzung-Pei Hong, Wei-Teng Hung, Yu-Chuan Tsai, Wei-Ming Huang:
Using Tree Structures for Maintenance of High Fuzzy Utility Itemsets. Rev. Socionetwork Strateg. 18(2): 429-448 (2024)
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Tzung-Pei Hong, Jerry Chun-Wei Lin, Ja-Hwung Su, Tang-Kai Yin:
Masked Face-Landmark Prediction with Mask-Coefficient. ACIIDS (1) 2024: 288-298
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Tzung-Pei Hong, Meng-Jui Kuo, Chun-Hao Chen, Katherine Shu-Min Li:
Federated Erasable-Itemset Mining with Quasi-Erasable Itemsets. ACIIDS (1) 2024: 299-307
[c286]
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Chun-Hao Chen, Low-Wei Hsu, Tzung-Pei Hong:
An Optimization Approach for Finding Diverse Trading Strategy Portfolio Using the Memetic Algorithm. ACIIDS (1) 2024: 308-317
[c285]
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Tzung-Pei Hong, Da Chen, Wei-Ming Huang, Yu-Chuan Tsai:
Mining Erasable Itemsets from a Product Database with Quantitative Components. MISNC 2024: 62-66
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Kudakwashe Chideme, Chun-Hao Chen, Tzung-Pei Hong:
A Diverse Group Trading Strategy Portfolio Optimization Algorithm Based on Network Modularity. SMC 2024: 2416-2421
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Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Minh Le Nguyen, Krystian Wojtkiewicz:
Recent Challenges in Intelligent Information and Database Systems - 16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part I. Communications in Computer and Information Science 2144, Springer 2024, ISBN 978-981-97-5936-1 [contents]
[e19]
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Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Minh Le Nguyen, Krystian Wojtkiewicz:
Recent Challenges in Intelligent Information and Database Systems - 16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part II. Communications in Computer and Information Science 2145, Springer 2024, ISBN 978-981-97-5933-0 [contents]
[e18]
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Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Minh Le Nguyen, Krystian Wojtkiewicz:
Intelligent Information and Database Systems - 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14795, Springer 2024, ISBN 978-981-97-4981-2 [contents]
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Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Minh Le Nguyen, Krystian Wojtkiewicz:
Intelligent Information and Database Systems - 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14796, Springer 2024, ISBN 978-981-97-4984-3 [contents]
2023
[j272]
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Bilal Sowan, Tzung-Pei Hong, Ahmad Al-Qerem, Mohammad Alauthman, Nasim Matar:
Ensembling validation indices to estimate the optimal number of clusters. Appl. Intell. 53(9): 9933-9957 (2023)
[j271]
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Sajida Kousar, Sidra Arshad, Nasreen Kausar, Tzung-Pei Hong:
Construction of Nilpotent and Solvable Lie Algebra in Picture Fuzzy Environment. Int. J. Comput. Intell. Syst. 16(1): 37 (2023)
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Tzung-Pei Hong, Jia-Xiang Li, Yu-Chuan Tsai, Wei-Ming Huang:
Tree-Based Unified Temporal Erasable-Itemset Mining. ACIIDS (1) 2023: 224-233
[c282]
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Tzung-Pei Hong, Jin-Hang Wu, Ja-Hwung Su, Tang-Kai Yin:
Effective Face Inpainting by Conditional Generative Adversarial Network. IEEE Big Data 2023: 6046-6050
[c281]
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Tzung-Pei Hong, Wei-Teng Hung, Yu-Chuan Tsai, Wei-Ming Huang:
Using the Pre-Large Concept for Maintaining High Fuzzy Utility Itemsets. FUZZ 2023: 1-5
[c280]
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Tzung-Pei Hong, Meng-Ping Ku, Yu-Chuan Tsai, Wei-Ming Huang, Shu-Min Li:
Trade-off Between Execution Time and Memory Consumption in Fuzzy Average-Utility Mining. iCAST 2023: 301-305
[c279]
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Tzung-Pei Hong, Wei-Teng Hung, Yu-Chuan Tsai, Wei-Ming Huang:
Maintenance of High Fuzzy Utility Itemsets Using the Pre-Large-Itemset Concept and Tree Structure. MISNC 2023: 118-123
[c278]
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Tzung-Pei Hong, Ya-Ping Hsu, Chun-Hao Chen, Jimmy Ming-Tai Wu:
A Federated Mining Framework for Complete Frequent Itemsets. SMC 2023: 2483-2488
[c277]
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  - conf/taai/HongXHCL23
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Tzung-Pei Hong, Yi-Zhen Xu, Shi-Feng Huang, Yi-Ting Chen, Ming-Han Lee:
Automatic Identification of Table Contents in Electronic Component Specifications of EDA. TAAI (2) 2023: 131-141
[e16]
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Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumila Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat:
Recent Challenges in Intelligent Information and Database Systems - 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023, Proceedings. Communications in Computer and Information Science 1863, Springer 2023, ISBN 978-3-031-42429-8 [contents]
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Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumila Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat:
Intelligent Information and Database Systems - 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13995, Springer 2023, ISBN 978-981-99-5833-7 [contents]
[e14]
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Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumila Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat:
Intelligent Information and Database Systems - 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13996, Springer 2023, ISBN 978-981-99-5836-8 [contents]
2022
[j270]
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  - journals/access/HongCSC22
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Tzung-Pei Hong, Chen-Chia Chiu, Ja-Hwung Su, Chun-Hao Chen:
Applicable Metamorphic Testing for Erasable-Itemset Mining. IEEE Access 10: 38545-38554 (2022)
[j269]
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  - journals/access/ChuangSHLLCHLOL22
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Yi-Hsuan Chuang, Ja-Hwung Su, Ding-Hong Han, Yi-Wen Liao, Yeong-Chyi Lee, Yu-Fan Cheng, Tzung-Pei Hong, Katherine Shu-Min Li, Hsin-You Ou, Yi Lu, Chih-Chi Wang:
Effective Natural Language Processing and Interpretable Machine Learning for Structuring CT Liver-Tumor Reports. IEEE Access 10: 116273-116286 (2022)
[j268]
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Ja-Hwung Su, Tzung-Pei Hong, Yu-Tang Chen, Chu-Yu Chin:
High-performance content-based music retrieval via automated navigation and semantic features. Eng. Appl. Artif. Intell. 115: 105267 (2022)
[j267]
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Tzung-Pei Hong, Chi-Cheng Kao, Siang-Wei Chen, Chun-Hao Chen:
Mining multiplex interaction relationships from usage records in social networks. Intell. Data Anal. 26(4): 993-1005 (2022)
[j266]
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  - journals/sensors/KuoYHL22
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Yu-Po Kuo, Ya-Ju Yu, Tzung-Pei Hong, Wei Kuang Lai:
Genetic Approach for Joint Transmission Grouping in Next-Generation Cellular Networks. Sensors 22(19): 7147 (2022)
[j265]
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  - journals/tfss/HongCLW22
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Tzung-Pei Hong, Chun-Hao Chen, Yan-Kang Li, Min-Thai Wu:
Using Fuzzy C-means to Discover Concept-drift Patterns for Membership Functions. TFSS 1(2): 21-31 (2022)
[c276]
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  - conf/aciids/ChenHH22
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Chun-Hao Chen, Yu-Qi Huang, Tzung-Pei Hong:
Using GPUs to Speed Up Genetic-Fuzzy Data Mining with Evaluation on All Large Itemsets. ACIIDS (1) 2022: 17-26
[c275]
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  - conf/bigdataconf/HongHHT22
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Tzung-Pei Hong, Wei-Teng Hung, Wei-Ming Huang, Yu-Chuan Tsai:
Incremental Fuzzy Utility Mining with Tree Structure. IEEE Big Data 2022: 6202-6206
[c274]
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Tzung-Pei Hong, Jia-Xiang Li, Yu-Chuan Tsai, Wei-Ming Huang:
Unified Temporal Erasable Itemset Mining with a Lower-Bound Strategy. IEEE Big Data 2022: 6207-6211
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  - conf/iccel/HongCWXCS22
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Tzung-Pei Hong, Wei-Chou Chen, Chih-Hung Wu, Bo-Wen Xiao, Bing-Yang Chiang, Zhi-Xun Shen:
Information Extraction and Analysis on Certificates and Medical Receipts. ICCE 2022: 1-4
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Zhengbing Hu, Mark Last, Tzung-Pei Hong, Oleksii K. Tyshchenko, Esha Kashyap:
A Noise Resistant Credibilistic Fuzzy Clustering Algorithm on a Unit Hypersphere with Illustrations Using Expression Data. ISDMCI 2022: 564-590
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Tang-Kai Yin, Liang-Yue Wu, Tzung-Pei Hong:
Axial Attention Inside a U-Net for Semantic Segmentation of 3D Sparse LiDAR Point Clouds. IV 2022: 1543-1549
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Tzung-Pei Hong, Wei-Teng Hung, Wei-Ming Huang, Yu-Chuan Tsai:
Incremental High Fuzzy Utility Itemset Mining. MISNC 2022: 66-69
[c269]
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Chun-Hao Chen, Wei-Hsun Lai, Kudakwashe Chideme, Tzung-Pei Hong:
GPU-based Advanced Long-Short Pair Trading Strategy Optimization Technique. SCIS/ISIS 2022: 1-4
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  - conf/aciids/2022-1
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Ngoc Thanh Nguyen, Tien Khoa Tran, Ualsher Tukeyev, Tzung-Pei Hong, Bogdan Trawinski, Edward Szczerbicki:
Intelligent Information and Database Systems - 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13757, Springer 2022, ISBN 978-3-031-21742-5 [contents]
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Ngoc Thanh Nguyen, Tien Khoa Tran, Ualsher Tukeyev, Tzung-Pei Hong, Bogdan Trawinski, Edward Szczerbicki:
Intelligent Information and Database Systems - 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13758, Springer 2022, ISBN 978-3-031-21966-5 [contents]
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  - conf/isda/2021
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Ajith Abraham, Niketa Gandhi, Thomas Hanne, Tzung-Pei Hong, Tatiane Nogueira Rios, Weiping Ding:
Intelligent Systems Design and Applications - 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021) Held During December 13-15, 2021. Lecture Notes in Networks and Systems 418, Springer 2022, ISBN 978-3-030-96307-1 [contents]
2021
[j264]
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Tzung-Pei Hong, Wei-Ming Huang, Guo-Cheng Lan, Ming-Chao Chiang, Jerry Chun-Wei Lin:
A Bitmap Approach for Mining Erasable Itemsets. IEEE Access 9: 106029-106038 (2021)
[j263]
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Jerry Chun-Wei Lin, Usman Ahmed, Gautam Srivastava, Jimmy Ming-Tai Wu, Tzung-Pei Hong, Youcef Djenouri:
Linguistic frequent pattern mining using a compressed structure. Appl. Intell. 51(7): 4806-4823 (2021)
[j262]
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Tuong Le, Thanh-Long Nguyen, Bao Huynh, Hung Nguyen, Tzung-Pei Hong, Václav Snásel:
Mining colossal patterns with length constraints. Appl. Intell. 51(12): 8629-8640 (2021)
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Tram Nguyen, Toan Bui, Hamido Fujita, Tzung-Pei Hong, Ho Dac Loc, Václav Snásel, Bay Vo:
Multiple-objective optimization applied in extracting multiple-choice tests. Eng. Appl. Artif. Intell. 105: 104439 (2021)
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  - journals/fuin/SlezakHW21
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Dominik Slezak, Tzung-Pei Hong, Leon S. L. Wang:
Preface: Information Granulation in Data Science and Scalable Computing. Fundam. Informaticae 182(2) (2021)
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S. R. Kannan, Rajesh Kumar Mohapatra, Tzung-Pei Hong:
The invention of new sequences through classifying and counting fuzzy matrices. Soft Comput. 25(15): 9663-9676 (2021)
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S. R. Kannan, Esha Kashyap, Mark Last, Tzung-Pei Hong:
Penalty term based suitable fuzzy intuitionistic possibilistic clustering: analyzing high dimensional gene expression cancer database. Soft Comput. 25(15): 9839-9857 (2021)
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Quang-Thinh Bui, Bay Vo, Václav Snásel, Witold Pedrycz, Tzung-Pei Hong, Ngoc Thanh Nguyen, Mu-Yen Chen:
SFCM: A Fuzzy Clustering Algorithm of Extracting the Shape Information of Data. IEEE Trans. Fuzzy Syst. 29(1): 75-89 (2021)
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Chun-Hao Chen, Chong-You Ye, Yeong-Chyi Lee, Tzung-Pei Hong:
A SPEA-Based Group Trading Strategy Portfolio Optimization Algorithm. ACIIDS 2021: 583-592
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Tzung-Pei Hong, Hsiu-Wei Chiu, Shih-Feng Huang, Yi-Ting Chen:
Deep-learning-based Extraction of Electronic Component Parameters from Datasheets. IEEE BigData 2021: 5501-5506
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Chun-Hao Chen, Wei-Hsun Lai, Tzung-Pei Hong:
An Effective Correlation-Based Pair Trading Strategy Using Genetic Algorithms. ICCCI 2021: 255-263
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Tzung-Pei Hong, Meng-Ping Ku, Hsiu-Wei Chiu, Wei-Ming Huang, Shu-Min Li, Jerry Chun-Wei Lin:
A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets. IEA/AIE (1) 2021: 66-72
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Tzung-Pei Hong, Hao Chang, Shu-Min Li, Yu-Chuan Tsai:
A Dedicated Temporal Erasable-Itemset Mining Algorithm. ISDA 2021: 977-985
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Tzung-Pei Hong, Wei-Chun Peng, Ja-Hwung Su, Shyue-Liang Wang:
Fuzzy Adaptive Focal Loss for Imbalanced Datasets. IST 2021: 1-5
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Been-Chian Chien, Yueh-Chia Hsu, Tzung-Pei Hong:
An Efficient Class-incremental Learning Strategy with Frozen Weights and Pseudo Exemplars. MISNC 2021: 86-90
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Tzung-Pei Hong, Hao Chang, Shu-Min Li, Yu-Chuan Tsai:
A Unified Temporal Erasable Itemset Mining Approach. TAAI 2021: 194-198
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Tzung-Pei Hong, Krystian Wojtkiewicz, Rathachai Chawuthai, Pawel Sitek:
Recent Challenges in Intelligent Information and Database Systems - 13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021, Proceedings. Communications in Computer and Information Science 1371, Springer 2021, ISBN 978-981-16-1684-6 [contents]
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Ajith Abraham, Thomas Hanne, Oscar Castillo, Niketa Gandhi, Tatiane Nogueira Rios, Tzung-Pei Hong:
Hybrid Intelligent Systems - 20th International Conference on Hybrid Intelligent Systems (HIS 2020), Virtual Event, India, December 14-16, 2020. Advances in Intelligent Systems and Computing 1375, Springer 2021, ISBN 978-3-030-73049-9 [contents]
2020
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Bay Vo, Loan T. T. Nguyen, Nguyen Bui, Trinh D. D. Nguyen, Van-Nam Huynh, Tzung-Pei Hong:
An Efficient Method for Mining Closed Potential High-Utility Itemsets. IEEE Access 8: 31813-31822 (2020)
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Bay Vo, Le V. Nguyen, Vinh V. Vu, Mi T. H. Lam, Thuy T. M. Duong, Ly T. Manh, Thuy T. T. Nguyen, Loan T. T. Nguyen, Tzung-Pei Hong:
Mining Correlated High Utility Itemsets in One Phase. IEEE Access 8: 90465-90477 (2020)
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Thi-Thiet Pham, Tung Do, Anh Nguyen, Bay Vo, Tzung-Pei Hong:
An Efficient Method for Mining Top-K Closed Sequential Patterns. IEEE Access 8: 118156-118163 (2020)
[j253]
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Chun-Hao Chen, Hsiang Chou, Tzung-Pei Hong, Yusuke Nojima:
Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules. IEEE Access 8: 123996-124006 (2020)
[j252]
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Aman Singh, Pinku Nath, Vivek Singhal, Divya Anand, Kavita, Sahil Verma, Tzung-Pei Hong:
A New Clinical Spectrum for the Assessment of Nonalcoholic Fatty Liver Disease Using Intelligent Methods. IEEE Access 8: 138470-138480 (2020)
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Tzung-Pei Hong, Cheng-Yu Lin, Wei-Ming Huang, Katherine Shu-Min Li, Shyue-Liang Leon Wang, Jerry Chun-Wei Lin:
Using Tree Structure to Mine High Temporal Fuzzy Utility Itemsets. IEEE Access 8: 153692-153706 (2020)
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Huy Minh Huynh, Loan T. T. Nguyen, Bay Vo, Unil Yun, Zuzana Komínková Oplatková, Tzung-Pei Hong:
Efficient algorithms for mining clickstream patterns using pseudo-IDLists. Future Gener. Comput. Syst. 107: 18-30 (2020)
[j249]
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Thang Mai, Loan T. T. Nguyen, Bay Vo, Unil Yun, Tzung-Pei Hong:
Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules. Sensors 20(4): 1078 (2020)
[j248]
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Toan Bui, Tram Nguyen, Huy Minh Huynh, Bay Vo, Jerry Chun-Wei Lin, Tzung-Pei Hong:
Multiswarm Multiobjective Particle Swarm Optimization with Simulated Annealing for Extracting Multiple Tests. Sci. Program. 2020: 7081653:1-7081653:15 (2020)
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Yu-Chuan Tsai, Shyue-Liang Wang, I-Hsien Ting, Tzung-Pei Hong:
Flexible sensitive K-anonymization on transactions. World Wide Web 23(4): 2391-2406 (2020)
[c260]
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Ja-Hwung Su, Tzung-Pei Hong, Hsuan-Hao Yeh:
Music Classification by Automated Relevance Feedbacks. ACIIDS (Companion) 2020: 25-34
[c259]
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Pei-Yu Huang, Chih-Sheng Hsu, Tzung-Pei Hong, Yan-Zhih Wang, Shin-Feng Huang, Shu-Min Li:
Automatic Parameter Setting in Hough Circle Transform. ACIIDS (1) 2020: 527-535
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Chun-Hao Chen, Che-Kai Fan, Tzung-Pei Hong:
Construction of an Intelligent Tennis Coach Based on Kinect and a Sensor-Based Tennis Racket. ACIIDS (1) 2020: 536-544
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Tzung-Pei Hong, Ming-Jhe Hu, Tank-Kai Yin, Shyue-Liang Wang:
Extracting Multi-Scale Rotation-Invariant Features in Convolution Neural Networks. IEEE BigData 2020: 5360-5365
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Jerry Chun-Wei Lin, Gautam Srivastava, Yuanfa Li, Tzung-Pei Hong, Shyue-Liang Wang:
Mining High-Utility Sequential Patterns in Uncertain Databases. IEEE BigData 2020: 5373-5380
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Tzung-Pei Hong, Cheng-Yu Lin, Wei-Ming Huang, Shu-Min Li, Shyue-Liang Wang, Jerry Chun-Wei Lin:
One-Phase Temporal Fuzzy Utility Mining. FUZZ-IEEE 2020: 1-5
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Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Youcef Djenouri, Gautam Srivastava, Tzung-Pei Hong:
Mining Multiple Fuzzy Frequent Patterns with Compressed List Structures. FUZZ-IEEE 2020: 1-8
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Tzung-Pei Hong, Meng-Ping Ku, Wei-Ming Huang, Shu-Min Li, Jerry Chun-Wei Lin:
A Tree-based Fuzzy Average-Utility Mining Algorithm. ICDM (Workshops) 2020: 669-672
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Chen-Sen Ouyang, Ming-Hsu Wu, Tzung-Pei Hong:
An Automatic Labeling Approach for Stable and Unstable Human Gait Classification in Videos. MISNC/IEMT 2020: 13:1-13:4
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Ja-Hwung Su, Tzung-Pei Hong, Yao-Hong Hsieh, Shu-Min Li:
Effective Music Emotion Recognition by Segment-based Progressive Learning. SMC 2020: 3072-3076

2010 – 2019

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2019
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Chun-Hao Chen, Ji-Syuan He, Tzung-Pei Hong, Subbaiya Rammohan Kannan:
Post-Analysis Framework for Mining Actionable Patterns Using Clustering and Genetic Algorithms. IEEE Access 7: 108101-108115 (2019)
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Chun-Hao Chen, Cheng-Yu Lu, Tzung-Pei Hong, Jerry Chun-Wei Lin, Matteo Gaeta:
An Effective Approach for the Diverse Group Stock Portfolio Optimization Using Grouping Genetic Algorithm. IEEE Access 7: 155871-155884 (2019)
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Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Tzung-Pei Hong:
Mining of skyline patterns by considering both frequent and utility constraints. Eng. Appl. Artif. Intell. 77: 229-238 (2019)
[j243]
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Wei-Ming Huang, Tzung-Pei Hong, Ming-Chao Chiang, Jerry Chun-Wei Lin:
Using Multi-Conditional Minimum Thresholds in Temporal Fuzzy Utility Mining. Int. J. Comput. Intell. Syst. 12(2): 613-626 (2019)
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Chun-Hao Chen, Bing-Yang Chiang, Tzung-Pei Hong, Ding-Chau Wang, Jerry Chun-Wei Lin, Munkhjargal Gankhuyag:
A fuzzy GGA-based approach to speed up the evolutionary process for diverse group stock portfolio optimization. J. Intell. Fuzzy Syst. 37(6): 7465-7479 (2019)
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Ja-Hwung Su, Chu-Yu Chin, Tzung-Pei Hong, Jung-Jui Su:
Content-Based Music Classification by Advanced Features and Progressive Learning. ACIIDS (2) 2019: 117-130
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Tzung-Pei Hong, Yu-Chiao Yang, Ja-Hwung Su, Chun-Hao Chen:
Content-Based Motorcycle Counting for Traffic Management by Image Recognition. ACIIDS (2) 2019: 180-188
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Tzung-Pei Hong, Cheng-Yu Lin, Wei-Ming Huang, Shu-Min Li, Shyue-Liang Wang, Jerry Chun-Wei Lin:
Mining Temporal Fuzzy Utility Itemsets by Tree Structure. IEEE BigData 2019: 2659-2663
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Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Tomasz Wiktorski, Tzung-Pei Hong, Matin Pirouz:
A GA-based Framework for Mining High Fuzzy Utility Itemsets. IEEE BigData 2019: 2708-2715
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Chun-Hao Chen, Wan-Yi Shen, Mu-En Wu, Tzung-Pei Hong:
A Divide-and-Conquer-based Approach for Diverse Group Stock Portfolio Optimization Using Island-based Genetic Algorithms. CEC 2019: 1473-1471
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Tzung-Pei Hong, Ping-Hung Chiang, Wei-Ming Huang, Jerry Chun-Wei Lin:
Fuzzy Utility Mining Under Minimum Weight Constraint of Multiple Item Weights. ICDM Workshops 2019: 982-986
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Chun-Hao Chen, Munkhjargal Gankhuyag, Tzung-Pei Hong, Mu-En Wu, Jimmy Ming-Tai Wu:
A Multiobjective-Based Group Trading Strategy Portfolio Optimization Technique. ICGEC 2019: 87-93
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Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Philippe Fournier-Viger, Tzung-Pei Hong, Ting Li:
Efficient Mining of High Average-Utility Sequential Patterns from Uncertain Databases. SMC 2019: 1989-1994
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Huy Minh Huynh, Loan T. T. Nguyen, Bay Vo, Zuzana Komínková Oplatková, Tzung-Pei Hong:
Mining Clickstream Patterns Using IDLists. SMC 2019: 2007-2012
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Chun-Hao Chen, Chia-Yuan Cheng, Tzung-Pei Hong, Mu-En Wu, Kawuu W. Lin, Jerry Chun-Wei Lin:
An Evolutionary-based Algorithm for Multi-Period Grouping Stock Portfolio Optimization. SMC 2019: 2530-2534
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Tzung-Pei Hong, Hsiang-Wei Chen, Wei-Ming Huang, Chun-Hao Chen:
Erasable Pattern Mining with Quantitative Information. TAAI 2019: 1-4
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Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawinski:
Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8-11, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11431, Springer 2019, ISBN 978-3-030-14798-3 [contents]
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Ngoc Thanh Nguyen, Ford Lumban Gaol, Tzung-Pei Hong, Bogdan Trawinski:
Intelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8-11, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11432, Springer 2019, ISBN 978-3-030-14801-0 [contents]
2018
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Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Jeng-Shyang Pan, Tzung-Pei Hong:
Efficiently updating the discovered high average-utility itemsets with transaction insertion. Eng. Appl. Artif. Intell. 72: 136-149 (2018)
[j240]
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Huong Bui, Bay Vo, Ham Nguyen, Tu-Anh Nguyen-Hoang, Tzung-Pei Hong:
A weighted N-list-based method for mining frequent weighted itemsets. Expert Syst. Appl. 96: 388-405 (2018)
[j239]
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Kit Yan Chan, Mehmet Emin Aydin, Huseyin Seker, Vasile Palade, Tzung-Pei Hong:
Editorial Message: Special Issue on Efficient Fuzzy Systems for Mining Large Scale, Imprecise, Uncertain and Vague Data. Int. J. Fuzzy Syst. 20(4): 1203-1204 (2018)
[j238]
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Jerry Chun-Wei Lin, Yuyu Zhang, Philippe Fournier-Viger, Tzung-Pei Hong:
Efficiently Updating the Discovered Multiple Fuzzy Frequent Itemsets with Transaction Insertion. Int. J. Fuzzy Syst. 20(8): 2440-2457 (2018)
[j237]
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Tzung-Pei Hong, Jimmy Ming-Tai Wu, Yan-Kang Li, Chun-Hao Chen:
Generalizing Concept-Drift Patterns for Fuzzy Association Rules. J. Netw. Intell. 3(2): 126-137 (2018)
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Chuan-Kang Ting, Rung-Tzuo Liaw, Ting-Chen Wang, Tzung-Pei Hong:
Mining fuzzy association rules using a memetic algorithm based on structure representation. Memetic Comput. 10(1): 15-28 (2018)
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Giuseppe D'Aniello, Matteo Gaeta, Tzung-Pei Hong:
Effective Quality-Aware Sensor Data Management. IEEE Trans. Emerg. Top. Comput. Intell. 2(1): 65-77 (2018)
[j234]
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Ja-Hwung Su, Tzung-Pei Hong, Chu-Yu Chin, Zhi-Feng Liao, Shyr-Yuan Cheng:
Mining and applications of repeating patterns. Vietnam. J. Comput. Sci. 5(3-4): 251-261 (2018)
[j233]
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Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Tzung-Pei Hong, Hamido Fujita:
A survey of incremental high-utility itemset mining. WIREs Data Mining Knowl. Discov. 8(2) (2018)
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Chun-Hao Chen, Bing-Yang Chiang, Tzung-Pei Hong, Ding-Chau Wang, Jerry Chun-Wei Lin:
An Approach for Diverse Group Stock Portfolio Optimization Using the Fuzzy Grouping Genetic Algorithm. ACIIDS (1) 2018: 510-518
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Yu-Chuan Tsai, Shyue-Liang Wang, I-Hsien Ting, Tzung-Pei Hong:
Flexible Anonymization of Transactions with Sensitive Items. BESC 2018: 201-206
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Chun-Hao Chen, Bing-Yang Chiang, Tzung-Pei Hong:
An Approach for Optimizing Group Stock Portfolio Using Multi-Objective Genetic Algorithm. BESC 2018: 213-215
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Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Tzung-Pei Hong, Philip S. Yu:
CoUPM: Correlated Utility-based Pattern Mining. IEEE BigData 2018: 2607-2616
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Tzung-Pei Hong, Chia-Che Li, Shyue-Liang Wang, Jerry Chun-Wei Lin:
Reducing Database Scan in Maintaining Erasable Itemsets from Product Deletion. IEEE BigData 2018: 2627-2632
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Tzung-Pei Hong, Yu-Chiao Yang, Ja-Hwung Su, Shyue-Liang Wang:
Recognition and Counting of Motorcycles by Fusing Support Vector Machine and Deep Learning. ICS 2018: 157-162
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Tzung-Pei Hong, Chia-Che Li, Shyue-Liang Wang, Chun-Wei Lin:
Maintenance of Erasable Itemsets for Product Deletion. MISNC 2018: 18:1-18:4
[c232]
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Chun-Hao Chen, Yu-Hsuan Chen, Mu-En Wu, Tzung-Pei Hong:
A Sophisticated Optimization Algorithm for Obtaining a Group Trading Strategy Portfolio and Its Stop-Loss and Take-Profit Points. SMC 2018: 3417-3420
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Jerry Chun-Wei Lin, Yuyu Zhang, Chun-Hao Chen, Jimmy Ming-Tai Wu, Chien-Ming Chen, Tzung-Pei Hong:
A Multiple Objective PSO-Based Approach for Data Sanitization. TAAI 2018: 148-151
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Ja-Hwung Su, Tzung-Pei Hong, Jyun-Yu Li, Jung-Jui Su:
Personalized Content-Based Music Retrieval by User-Filtering and Query-Refinement. TAAI 2018: 177-180
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Ngoc Thanh Nguyen, Duong Hung Hoang, Tzung-Pei Hong, Hoang Pham, Bogdan Trawinski:
Intelligent Information and Database Systems - 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19-21, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10751, Springer 2018, ISBN 978-3-319-75416-1 [contents]
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Ngoc Thanh Nguyen, Duong Hung Hoang, Tzung-Pei Hong, Hoang Pham, Bogdan Trawinski:
Intelligent Information and Database Systems - 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19-21, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10752, Springer 2018, ISBN 978-3-319-75419-2 [contents]
2017
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Bay Vo, Tuong Le, Giang Nguyen, Tzung-Pei Hong:
Efficient Algorithms for Mining Erasable Closed Patterns From Product Datasets. IEEE Access 5: 3111-3120 (2017)
[j231]
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Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong:
EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds. IEEE Access 5: 12927-12940 (2017)
[j230]
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Wei-Ming Huang, Tzung-Pei Hong, Guo-Cheng Lan, Ming-Chao Chiang, Jerry Chun-Wei Lin:
Temporal-Based Fuzzy Utility Mining. IEEE Access 5: 26639-26652 (2017)
[j229]
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Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Tzung-Pei Hong, Ji Zhang:
A two-phase approach to mine short-period high-utility itemsets in transactional databases. Adv. Eng. Informatics 33: 29-43 (2017)
[j228]
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Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong, Ja-Hwung Su, Bay Vo:
A fast algorithm for mining high average-utility itemsets. Appl. Intell. 47(2): 331-346 (2017)
[j227]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Han-Chieh Chao, Tzung-Pei Hong:
Efficiently mining frequent itemsets with weight and recency constraints. Appl. Intell. 47(3): 769-792 (2017)
[j226]
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  - journals/ida/HuangHC17
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Jheng-Nan Huang, Tzung-Pei Hong, Ming-Chao Chiang:
An effective method for approximate representation of frequent itemsets. Intell. Data Anal. 21(3): 597-616 (2017)
[j225]
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Jeng-Shyang Pan, Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Tzung-Pei Hong:
Efficiently mining of skyline frequent-utility patterns. Intell. Data Anal. 21(6): 1407-1423 (2017)
[j224]
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Tzung-Pei Hong, Been-Chian Chien, Wen-Yang Lin, Shyue-Liang Wang:
Editorial. Intell. Data Anal. 21(S1): S1-S3 (2017)
[j223]
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Shyue-Liang Wang, Min-Jye Hsiu, Yu-Chuan Tsai, I-Hsien Ting, Tzung-Pei Hong:
Analysis of privacy and utility tradeoffs in anonymized mobile context streams. Intell. Data Anal. 21(S1): S21-S39 (2017)
[j222]
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Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Jimmy Ming-Tai Wu, Justin Zhan:
Efficient Mining of Multiple Fuzzy Frequent Itemsets. Int. J. Fuzzy Syst. 19(4): 1032-1040 (2017)
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Han-Chieh Chao:
Mining Weighted Frequent Itemsets without Candidate Generation in Uncertain Databases. Int. J. Inf. Technol. Decis. Mak. 16(6): 1549-1580 (2017)
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Jerry Chun-Wei Lin, Tzung-Pei Hong, Philippe Fournier-Viger, Qiankun Liu, Jia-Wei Wong, Justin Zhan:
Efficient hiding of confidential high-utility itemsets with minimal side effects. J. Exp. Theor. Artif. Intell. 29(6): 1225-1245 (2017)
[j219]
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Tzung-Pei Hong, Yuan-Ching Peng, Wen-Yang Lin, Shyue-Liang Wang:
Empirical comparison of level-wise hierarchical multi-population genetic algorithm. J. Inf. Telecommun. 1(1): 66-78 (2017)
[j218]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Han-Chieh Chao:
FDHUP: Fast algorithm for mining discriminative high utility patterns. Knowl. Inf. Syst. 51(3): 873-909 (2017)
[j217]
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Min-Thai Wu, Tzung-Pei Hong, Chung-Nan Lee:
A dynamic-edge ACS algorithm for continuous variables problems. Nat. Comput. 16(2): 339-352 (2017)
[j216]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Efficiently mining uncertain high-utility itemsets. Soft Comput. 21(11): 2801-2820 (2017)
[j215]
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  - journals/soco/KannanDRH17
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S. R. Kannan, R. Devi, S. Ramathilagam, Tzung-Pei Hong:
Effective fuzzy possibilistic c-means: an analyzing cancer medical database. Soft Comput. 21(11): 2835-2845 (2017)
[j214]
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Chuan-Kang Ting, Ting-Chen Wang, Rung-Tzuo Liaw, Tzung-Pei Hong:
Genetic algorithm with a structure-based representation for genetic-fuzzy data mining. Soft Comput. 21(11): 2871-2882 (2017)
[j213]
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Wen-Yang Lin, Hsin-Chang Yang, Tzung-Pei Hong, Leon S. L. Wang:
Special issue on intelligent analytics and management of mobile data and social media. Soft Comput. 21(15): 4159-4160 (2017)
[j212]
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Shyue-Liang Wang, Yu-Chuan Tsai, Tzung-Pei Hong, Hung-Yu Kao:
k^--anonymization of multiple shortest paths. Soft Comput. 21(15): 4215-4226 (2017)
[j211]
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Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Tzung-Pei Hong, Miroslav Voznák:
A binary PSO approach to mine high-utility itemsets. Soft Comput. 21(17): 5103-5121 (2017)
[j210]
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Jheng-Nan Huang, Tzung-Pei Hong, Ming-Chao Chiang:
Reference itemsets: useful itemsets to approximate the representation of frequent itemsets. Soft Comput. 21(20): 6143-6157 (2017)
[c229]
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Ja-Hwung Su, Tzung-Pei Hong, Chu-Yu Chin, Zhi-Feng Liao, Shyr-Yuan Cheng:
A High-Performance Algorithm for Mining Repeating Patterns. ACIIDS (1) 2017: 631-640
[c228]
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Chun-Hao Chen, Jonathan Coupe, Tzung-Pei Hong:
Optimizing Diverse Group Stock Portfolio without Setting a Number of Groups. AINA 2017: 594-598
[c227]
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Tzung-Pei Hong, Lu-Hung Chen, Shyue-Liang Wang, Chun-Wei Lin, Bay Vo:
Quasi-erasable itemset mining. IEEE BigData 2017: 1816-1820
[c226]
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Tzung-Pei Hong, Yuan-Ching Peng, Wen-Yang Lin, Shyue-Liang Wang:
Migration Effect of Hierarchical Multi-Population Genetic Algorithm. CYBCONF 2017: 1-4
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Wei-Ming Huang, Tzung-Pei Hong, Guo-Cheng Lan, Ming-Chao Chiang, Jerry Chun-Wei Lin:
Mining Erasable Itemsets Using Bitmap Representation. ICGEC 2017: 37-43
[c224]
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Tsu-Yang Wu, Jerry Chun-Wei Lin, Yinan Shao, Philippe Fournier-Viger, Tzung-Pei Hong:
Updating the Discovered High Average-Utility Patterns with Transaction Insertion. ICGEC 2017: 66-73
[c223]
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Chun-Hao Chen, Wan-Yi Shen, Tzung-Pei Hong, Ja-Hwung Su:
An island-based algorithm for group stock portfolio optimization. IFSA-SCIS 2017: 1-5
[c222]
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Tzung-Pei Hong, Kun-Yi Lin, Chun-Wei Lin, Bay Vo:
An incremental mining algorithm for erasable itemsets. INISTA 2017: 286-289
[c221]
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Tzung-Pei Hong, Jen-Hao Hsu, Guo-Cheng Lan, Kung-Jiuan Yang, Shyue-Liang Wang, Jerry Chun-Wei Lin:
High Utility Partial Periodic Pattern Mining. MISNC 2017: 35:1-35:4
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Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger, Tzung-Pei Hong:
Mining of High Average-Utility Itemsets with a Tighter Upper-Bound Model. MISNC 2017: 37:1-37:6
[c219]
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Tzung-Pei Hong, Jen-Hao Hsu, Kung-Jiuan Yang, Guo-Cheng Lan, Jerry Chun-Wei Lin, Shyue-Liang Wang:
Mining high utility partial periodic pattern by GPA. SMC 2017: 820-824
[c218]
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Chun-Hao Chen, Tzung-Pei Hong, Shih-Chi Chu:
Diverse Group Stock Portfolio Optimization Based on Investor Sentiment Index. TAAI 2017: 100-103
2016
[j209]
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Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong:
PTA: An Efficient System for Transaction Database Anonymization. IEEE Access 4: 6467-6479 (2016)
[j208]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Fast algorithms for mining high-utility itemsets with various discount strategies. Adv. Eng. Informatics 30(2): 109-126 (2016)
[j207]
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Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan, Miroslav Voznák:
An efficient algorithm to mine high average-utility itemsets. Adv. Eng. Informatics 30(2): 233-243 (2016)
[j206]
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Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
Maintaining the discovered high-utility itemsets with transaction modification. Appl. Intell. 44(1): 166-178 (2016)
[j205]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Weighted frequent itemset mining over uncertain databases. Appl. Intell. 44(1): 232-250 (2016)
[j204]
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Minh-Thai Tran, Bac Le, Bay Vo, Tzung-Pei Hong:
Mining non-redundant sequential rules with dynamic bit vectors and pruning techniques. Appl. Intell. 45(2): 333-342 (2016)
[j203]
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Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong, Shih-Bin Lin:
Mining fuzzy temporal association rules by item lifespans. Appl. Soft Comput. 41: 265-274 (2016)
[j202]
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Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Miroslav Voznák, Justin Zhan:
A sanitization approach for hiding sensitive itemsets based on particle swarm optimization. Eng. Appl. Artif. Intell. 53: 1-18 (2016)
[j201]
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Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Jimmy Ming-Tai Wu, Tzung-Pei Hong, Shyue-Liang Leon Wang, Justin Zhan:
Mining high-utility itemsets based on particle swarm optimization. Eng. Appl. Artif. Intell. 55: 320-330 (2016)
[j200]
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Bay Vo, Thien-Phuong Le, Tzung-Pei Hong, Bac Le, Jason J. Jung:
An efficient approach for mining frequent item sets with transaction deletion operation. Int. Arab J. Inf. Technol. 13(5): 595-602 (2016)
[j199]
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Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Hsin-Yi Chen, Sheng-Tun Li:
An efficient algorithm to maintain the discovered frequent sequences with record deletion. Intell. Data Anal. 20(3): 655-677 (2016)
[j198]
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Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
A fast maintenance algorithm of the discovered high-utility itemsets with transaction deletion. Intell. Data Anal. 20(4): 891-913 (2016)
[j197]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Efficiently Updating the Discovered Sequential Patterns for Sequence Modification. Int. J. Softw. Eng. Knowl. Eng. 26(8): 1285-1314 (2016)
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Chun-Hao Chen, Vincent S. Tseng, Hsieh-Hui Yu, Tzung-Pei Hong, Neil Y. Yen:
A GA-based approach for finding appropriate granularity levels of patterns from time series. Int. J. Web Grid Serv. 12(3): 217-239 (2016)
[j195]
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Bay Vo, Tam Tran, Tzung-Pei Hong, Le Minh Nguyen:
Using Soft Set Theory for Mining Maximal Association Rules in Text Data. J. Univers. Comput. Sci. 22(6): 802-821 (2016)
[j194]
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Shyue-Liang Wang, Jia-Wei Chen, I-Hsien Ting, Tzung-Pei Hong:
K, P)-Shortest Path Algorithm in the Cloud Maintaining Neighborhood Privacy. J. Web Eng. 15(1&2): 29-44 (2016)
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Efficient algorithms for mining high-utility itemsets in uncertain databases. Knowl. Based Syst. 96: 171-187 (2016)
[j192]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan:
Efficient mining of high-utility itemsets using multiple minimum utility thresholds. Knowl. Based Syst. 113: 100-115 (2016)
[j191]
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Bay Vo, Tuong Le, Frans Coenen, Tzung-Pei Hong:
Mining frequent itemsets using the N-list and subsume concepts. Int. J. Mach. Learn. Cybern. 7(2): 253-265 (2016)
[j190]
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Chun-Wei Lin, Binbin Zhang, Wensheng Gan, Bo-Wei Chen, Seungmin Rho, Tzung-Pei Hong:
Updating high-utility pattern trees with transaction modification. Multim. Tools Appl. 75(9): 4887-4912 (2016)
[j189]
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Shun-Feng Su, Witold Pedrycz, Tzung-Pei Hong, Francisco de A. T. de Carvalho:
Guest Editorial Special Issue on Granular/Symbolic Data Processing. IEEE Trans. Cybern. 46(2): 342-343 (2016)
[c217]
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Jerry Chun-Wei Lin, Xianbiao Lv, Philippe Fournier-Viger, Tsu-Yang Wu, Tzung-Pei Hong:
Efficient Mining of Fuzzy Frequent Itemsets with Type-2 Membership Functions. ACIIDS (2) 2016: 191-200
[c216]
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Tzung-Pei Hong, Min-Thai Wu, Yan-Kang Li, Chun-Hao Chen:
Mining Drift of Fuzzy Membership Functions. ACIIDS (2) 2016: 211-218
[c215]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Mining Discriminative High Utility Patterns. ACIIDS (2) 2016: 219-229
[c214]
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Ja-Hwung Su, Tzung-Pei Hong, Yu-Tang Chang, Hsu-Yuan Tung:
Un-Supervised, Semi-Supervised and Supervised Image Retrieval Based on Conceptual Features. BigMM 2016: 129-132
[c213]
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Chun-Hao Chen, Cheng-Yu Lu, Tzung-Pei Hong, Ja-Hwung Su:
Using grouping genetic algorithm to mine diverse group stock portfolio. CEC 2016: 4734-4738
[c212]
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  - conf/fuzzIEEE/LinLFHS16
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Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Ja-Hwung Su:
Fast algorithms for mining multiple fuzzy frequent itemsets. FUZZ-IEEE 2016: 2113-2119
[c211]
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Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Ja-Hwung Su:
Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds. ICDM 2016: 14-28
[c210]
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  - conf/misnc/LinLFHZV16
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Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan, Miroslav Voznák:
An Efficient Anonymous System for Transaction Data. MISNC 2016: 28
[c209]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Efficient Mining of Weighted Frequent Itemsets in Uncertain Databases. MLDM 2016: 236-250
[c208]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Efficient algorithms for mining recent weighted frequent itemsets in temporal transactional databases. SAC 2016: 861-866
[c207]
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Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Tzung-Pei Hong, Chien-Ming Chen, Ja-Hwung Su:
Efficient mining of short periodic high-utility itemsets. SMC 2016: 3083-3088
[c206]
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Tzung-Pei Hong, Yu-Yang Liu, Min-Thai Wu, Chun-Hao Chen, Shyue-Liang Leon Wang:
Genetic-fuzzy mining with MapReduce. SMC 2016: 3294-3298
[c205]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Efficient Mining of Uncertain Data for High-Utility Itemsets. WAIM (1) 2016: 17-30
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Ngoc Thanh Nguyen, Bogdan Trawinski, Hamido Fujita, Tzung-Pei Hong:
Intelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Da Nang, Vietnam, March 14-16, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9621, Springer 2016, ISBN 978-3-662-49380-9 [contents]
[e3]
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Ngoc Thanh Nguyen, Bogdan Trawinski, Hamido Fujita, Tzung-Pei Hong:
Intelligent Information and Database Systems - 8th Asian Conference, ACIIDS 2016, Da Nang, Vietnam, March 14-16, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9622, Springer 2016, ISBN 978-3-662-49389-2 [contents]
2015
[j188]
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Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Jia-Wei Wong, Wen-Yang Lin:
Efficient updating of discovered high-utility itemsets for transaction deletion in dynamic databases. Adv. Eng. Informatics 29(1): 16-27 (2015)
[j187]
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Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
A fast updated algorithm to maintain the discovered high-utility itemsets for transaction modification. Adv. Eng. Informatics 29(3): 562-574 (2015)
[j186]
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Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Vincent S. Tseng:
Efficient algorithms for mining up-to-date high-utility patterns. Adv. Eng. Informatics 29(3): 648-661 (2015)
[j185]
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Chun-Wei Lin, Tzung-Pei Hong, Kuo-Tung Yang, Shyue-Liang Wang:
The GA-based algorithms for optimizing hiding sensitive itemsets through transaction deletion. Appl. Intell. 42(2): 210-230 (2015)
[j184]
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  - journals/asc/LinHL15
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Jerry Chun-Wei Lin, Tzung-Pei Hong, Tsung-Ching Lin:
A CMFFP-tree algorithm to mine complete multiple fuzzy frequent itemsets. Appl. Soft Comput. 28: 431-439 (2015)
[j183]
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  - journals/asc/HongCL15
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Tzung-Pei Hong, Chun-Hao Chen, Feng-Shih Lin:
Using group genetic algorithm to improve performance of attribute clustering. Appl. Soft Comput. 29: 371-378 (2015)
[j182]
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Guo-Cheng Lan, Tzung-Pei Hong, Yi-Hsin Lin, Shyue-Liang Wang:
Fuzzy utility mining with upper-bound measure. Appl. Soft Comput. 30: 767-777 (2015)
[j181]
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Yu-Chuan Tsai, Shyue-Liang Wang, Hung-Yu Kao, Tzung-Pei Hong:
Edge types vs privacy in K-anonymization of shortest paths. Appl. Soft Comput. 31: 348-359 (2015)
[j180]
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  - journals/asc/KannanDRHR15
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S. R. Kannan, R. Devi, S. Ramathilagam, Tzung-Pei Hong, A. Ravikumar:
Robust fuzzy clustering algorithms in analyzing high-dimensional cancer databases. Appl. Soft Comput. 35: 199-213 (2015)
[j179]
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  - journals/dke/VoLHL15
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Bay Vo, Tuong Le, Tzung-Pei Hong, Hoai Bac Le:
Fast updated frequent-itemset lattice for transaction deletion. Data Knowl. Eng. 96: 78-89 (2015)
[j178]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
RWFIM: Recent weighted-frequent itemsets mining. Eng. Appl. Artif. Intell. 45: 18-32 (2015)
[j177]
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  - journals/iajit/NguyenVH15
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Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong:
CARIM: an efficient algorithm for mining class-association rules with interestingness measures. Int. Arab J. Inf. Technol. 12(6A): 627-634 (2015)
[j176]
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Chun-Wei Lin, Guo-Cheng Lan, Tzung-Pei Hong:
Mining high utility itemsets for transaction deletion in a dynamic database. Intell. Data Anal. 19(1): 43-55 (2015)
[j175]
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  - journals/ida/LanHLL15
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Guo-Cheng Lan, Tzung-Pei Hong, Hong-Yu Lee, Chun-Wei Lin:
Tightening upper bounds for mining weighted frequent itemsets. Intell. Data Anal. 19(2): 413-429 (2015)
[j174]
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Jerry Chun-Wei Lin, Tzung-Pei Hong, Wensheng Gan, Hsin-Yi Chen, Sheng-Tun Li:
Incrementally updating the discovered sequential patterns based on pre-large concept. Intell. Data Anal. 19(5): 1071-1089 (2015)
[j173]
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  - journals/ijitdm/ChenHLT15
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Chun-Hao Chen, Tzung-Pei Hong, Yeong-Chyi Lee, Vincent S. Tseng:
Finding Active Membership Functions for Genetic-Fuzzy Data Mining. Int. J. Inf. Technol. Decis. Mak. 14(6): 1215-1242 (2015)
[j172]
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Jerry Chun-Wei Lin, Tzung-Pei Hong, Tsung-Ching Lin, Shing-Tai Pan:
An UBMFFP Tree for Mining Multiple Fuzzy Frequent Itemsets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(6): 861-880 (2015)
[j171]
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Dang Nguyen, Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong:
A novel method for constrained class association rule mining. Inf. Sci. 320: 107-125 (2015)
[j170]
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Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Jingliang Zhang:
Updating the Built Prelarge Fast Updated Sequential Pattern Trees with Sequence Modification. Int. J. Data Warehous. Min. 11(1): 1-22 (2015)
[j169]
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Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong:
A fast Algorithm for mining fuzzy frequent itemsets. J. Intell. Fuzzy Syst. 29(6): 2373-2379 (2015)
[j168]
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  - journals/ppna/LinGHPC15
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Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Sang Oh Park, Bo-Wei Chen:
Peer-to-peer usage analysis in dynamic databases. Peer-to-Peer Netw. Appl. 8(5): 851-862 (2015)
[c204]
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Chun-Hao Chen, Tzung-Pei Hong, Yu Li:
Fuzzy Association Rule Mining with Type-2 Membership Functions. ACIIDS (2) 2015: 128-134
[c203]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Mining Weighted Frequent Itemsets with the Recency Constraint. APWeb 2015: 635-646
[c202]
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Shyue-Liang Wang, Min-Jye Hsiu, I-Hsien Ting, Tzung-Pei Hong:
Toward Analyzing Privacy and Utility of Mobile User Data. ASE BD&SI 2015: 21:1-21:6
[c201]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Mining Potential High-Utility Itemsets over Uncertain Databases. ASE BD&SI 2015: 25:1-25:6
[c200]
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R. Devi, S. R. Kannan, Tzung-Pei Hong, S. Ramathilagam:
Fuzzy Clustering Systems in Analyzing High Dimensional Database. ASE BD&SI 2015: 36:1-36:4
[c199]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds. C3S2E 2015: 9-17
[c198]
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Chun-Hao Chen, Yu Li, Tzung-Pei Hong, Yan-Kang Li, Eric Hsueh-Chan Lu:
A GA-based approach for mining membership functions and concept-drift patterns. CEC 2015: 2961-2965
[c197]
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Tzung-Pei Hong, Ling-I Huang, Wen-Yang Lin, Yu-Yang Liu, Goutam Chakraborty:
Dynamic migration in multiple ant colonies. CYBCONF 2015: 146-150
[c196]
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Piotr Jedrzejowicz, Ngoc Thanh Nguyen, Tzung-Pei Hong, Ireneusz Czarnowski:
Preface. CYBCONF 2015
[c195]
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Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng:
Mining high-utility itemsets with various discount strategies. DSAA 2015: 1-10
[c194]
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Tzung-Pei Hong, Yu-Yang Liu, Min-Thai Wu, Chun-Wei Tsai:
Efficient data preprocessing for genetic-fuzzy mining with MapReduce. ICCE-TW 2015: 88-89
[c193]
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Jerry Chun-Wei Lin, Tsu-Yang Wu, Philippe Fournier-Viger, Guo Lin, Tzung-Pei Hong, Jeng-Shyang Pan:
A Sanitization Approach of Privacy Preserving Utility Mining. ICGEC (2) 2015: 47-57
[c192]
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Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Vincent S. Tseng:
Hewin: High expected weighted itemset mining in uncertain databases. ICMLC 2015: 439-444
[c191]
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Kuei-Ying Lin, Pi-Chung Wang, Tzung-Pei Hong:
A greedy algorithm in WSNs for maximum network lifetime and communication reliability. ICNSC 2015: 87-92
[c190]
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Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Jeng-Shyang Pan:
A Swarm-Based Sanitization Approach for Hiding Confidential Itemsets. IIH-MSP 2015: 227-230
[c189]
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Yu-Chuan Tsai, Shyue-Liang Wang, Tzung-Pei Hong, Hung-Yu Kao:
Extending [K 1 , K 2 ] Anonymization of Shortest Paths for Social Networks. MISNC 2015: 187-199
[c188]
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Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Jimmy Ming-Tai Wu, Tzung-Pei Hong, Shyue-Liang Leon Wang:
A Swarm-Based Approach to Mine High-Utility Itemsets. MISNC 2015: 572-581
[c187]
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Tzung-Pei Hong, Jui-Chi Chen, Wen-Yang Lin, Chun-Hao Chen:
Analysis of Parallel Sub-swarm PSO with the Same Total Particle Numbers. NBiS 2015: 616-619
[c186]
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Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
A Fast Algorithm to Maintain the Discovered High-Utility Itemsets with Modified Records. SMC 2015: 2573-2578
[c185]
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Duy Ham Nguyen, Bay Vo, Thi Hong, Minh Nguyen, Tzung-Pei Hong:
An Improved Algorithm for Mining Frequent Weighted Itemsets. SMC 2015: 2579-2584
[c184]
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Chun-Hao Chen, Yu Li, Tzung-Pei Hong:
Type-2 genetic-fuzzy mining with tuning mechanism. TAAI 2015: 296-299
2014
[j167]
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Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
Efficiently Maintaining the Fast Updated Sequential Pattern Trees With Sequence Deletion. IEEE Access 2: 1374-1383 (2014)
[j166]
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Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Jia-Wei Wong, Wen-Yang Lin:
Incrementally mining high utility patterns based on pre-large concept. Appl. Intell. 40(2): 343-357 (2014)
[j165]
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Guo-Cheng Lan, Tzung-Pei Hong, Hong-Yu Lee:
An efficient approach for finding weighted sequential patterns from sequence databases. Appl. Intell. 41(2): 439-452 (2014)
[j164]
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Bay Vo, Tuong Le, Tzung-Pei Hong, Hoai Bac Le:
An effective approach for maintenance of pre-large-based frequent-itemset lattice in incremental mining. Appl. Intell. 41(3): 759-775 (2014)
[j163]
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Shyue-Liang Wang, Yu-Chuan Tsai, Hung-Yu Kao, Tzung-Pei Hong:
On anonymizing transactions with sensitive items. Appl. Intell. 41(4): 1043-1058 (2014)
[j162]
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Thien-Phuong Le, Bay Vo, Tzung-Pei Hong, Bac Le, Dosam Hwang:
Improving Efficiency of Incremental Mining by Trie Structure and Pre-Large Itemsets. Comput. Informatics 33(3): 609-632 (2014)
[j161]
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Tzung-Pei Hong, Chun-Wei Lin, Tsung-Ching Lin:
The MFFP-Tree fuzzy Mining Algorithm to Discover Complete Linguistic Frequent Itemsets. Comput. Intell. 30(1): 145-166 (2014)
[j160]
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Kung-Jiuan Yang, Tzung-Pei Hong, Guo-Cheng Lan, Yuh-Min Chen:
A two-phase approach for mining weighted partial periodic patterns. Eng. Appl. Artif. Intell. 30: 225-234 (2014)
[j159]
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Thi-Thiet Pham, Jiawei Luo, Tzung-Pei Hong, Bay Vo:
An efficient method for mining non-redundant sequential rules using attributed prefix-trees. Eng. Appl. Artif. Intell. 32: 88-99 (2014)
[j158]
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Binbin Zhang, Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
Maintaining the discovered sequential patterns for sequence insertion in dynamic databases. Eng. Appl. Artif. Intell. 35: 131-142 (2014)
[j157]
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Tzung-Pei Hong, Yeong-Chyi Lee, Min-Thai Wu:
An effective parallel approach for genetic-fuzzy data mining. Expert Syst. Appl. 41(2): 655-662 (2014)
[j156]
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Guo-Cheng Lan, Tzung-Pei Hong, Jen-Peng Huang, Vincent S. Tseng:
On-shelf utility mining with negative item values. Expert Syst. Appl. 41(7): 3450-3459 (2014)
[j155]
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng, Shyue-Liang Wang:
Applying the maximum utility measure in high utility sequential pattern mining. Expert Syst. Appl. 41(11): 5071-5081 (2014)
[j154]
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Yang Lin, Guo-Cheng Lan:
Efficient updating of sequential patterns with transaction insertion. Intell. Data Anal. 18(6): 1013-1026 (2014)
[j153]
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Thi-Thiet Pham, Jiawei Luo, Tzung-Pei Hong:
An efficient algorithm for mining sequential generator pattern using prefix trees and hash tables. Int. J. Intell. Syst. Technol. Appl. 13(3): 157-169 (2014)
[j152]
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Kung-Jiuan Yang, Tzung-Pei Hong, Guo-Cheng Lan, Yuh-Min Chen:
Efficient Mining of Partial Periodic Patterns with Individual Event Support Thresholds Using Minimum Constraints. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(6): 793-814 (2014)
[j151]
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Chun-Wei Lin, Tzung-Pei Hong:
Maintenance of prelarge trees for data mining with modified records. Inf. Sci. 278: 88-103 (2014)
[j150]
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Kung-Jiuan Yang, Tzung-Pei Hong, Yuh-Min Chen, Guo-Cheng Lan:
An Efficient Pruning and Filtering Strategy to Mine Partial Periodic Patterns from a Sequence of Event Sets. Int. J. Data Warehous. Min. 10(2): 18-38 (2014)
[j149]
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Shyue-Liang Wang, Zheng-Ze Tsai, I-Hsien Ting, Tzung-Pei Hong:
K-anonymous path privacy on social graphs. J. Intell. Fuzzy Syst. 26(3): 1191-1199 (2014)
[j148]
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Chun-Wei Lin, Tzung-Pei Hong:
Mining fuzzy frequent itemsets based on UBFFP trees. J. Intell. Fuzzy Syst. 27(1): 535-548 (2014)
[j147]
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S. Ramathilagam, R. Devi, Tzung-Pei Hong, S. R. Kannan:
Robust fuzzy clustering techniques for analyzing complicated colon cancer database. J. Intell. Fuzzy Syst. 27(5): 2573-2595 (2014)
[j146]
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
An efficient projection-based indexing approach for mining high utility itemsets. Knowl. Inf. Syst. 38(1): 85-107 (2014)
[j145]
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Chun-Wei Tsai, Alexander Pelov, Ming-Chao Chiang, Chu-Sing Yang, Tzung-Pei Hong:
Computational awareness for smart grid: a review. Int. J. Mach. Learn. Cybern. 5(1): 151-163 (2014)
[j144]
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Tzung-Pei Hong, Yan-Liang Liou, Shyue-Liang Wang, Bay Vo:
Feature selection and replacement by clustering attributes. Vietnam. J. Comput. Sci. 1(1): 47-55 (2014)
[c183]
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Chun-Hao Chen, Yu Li, Tzung-Pei Hong:
Multi-Level Genetic-Fuzzy Mining with a Tuning Mechanism. ACIIDS (2) 2014: 82-89
[c182]
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Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Jeng-Shyang Pan:
Incrementally Updating High-Utility Itemsets with Transaction Insertion. ADMA 2014: 44-56
[c181]
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Tien Lu, Bay Vo, Hien T. Nguyen, Tzung-Pei Hong:
A New Method for Mining High Average Utility Itemsets. CISIM 2014: 33-42
[c180]
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Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong, Shyue-Liang Wang, Yui-Kai Lin:
A Projection-Based Approach for Mining Highly Coherent Association Rules. ECC (1) 2014: 69-78
[c179]
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Chun-Wei Lin, Tzung-Pei Hong, Hung-Chuan Hsu:
Hiding Sensitive Itemsets with Minimal Side Effects in Privacy Preserving Data Mining. ECC (1) 2014: 87-95
[c178]
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Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Raylin Tso:
An Incremental Algorithm for Maintaining the Built FUSP Trees Based on the Pre-large Concepts. ECC (1) 2014: 135-144
[c177]
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Yu Li, Chun-Hao Chen, Tzung-Pei Hong, Yeong-Chyi Lee:
Genetic-fuzzy mining with type-2 membership functions. FUZZ-IEEE 2014: 1985-1989
[c176]
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Yeong-Chyi Lee, Qing-Fu Qi, Tzung-Pei Hong, Chun-Hao Chen:
A GA-based scheduling algorithm on parallel machines with heterogeneous mounted molds. GrC 2014: 147-150
[c175]
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Guo-Cheng Lan, Tzung-Pei Hong, Yu-Te Chao:
Multi-criteria Utility Mining Using Maximum Constraints. ICCCI 2014: 466-471
[c174]
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Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Chien-Ming Chen:
Maintaining high-utility itemsets in dynamic databases. ICMLC 2014: 469-474
[c173]
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Chun-Wei Lin, Tsu-Yang Wu, Guo Lin, Tzung-Pei Hong:
Maintenance algorithm for updating the discovered multiple fuzzy frequent itemsets for transaction deletion. ICMLC 2014: 475-480
[c172]
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Guo-Cheng Lan, Tzung-Pei Hong, Yu-Te Chao:
Multi-criteria Utility Mining Using Minimum Constraints. IEA/AIE (2) 2014: 42-47
[c171]
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Ci-Rong Li, Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong:
A Modified Maintenance Algorithm for Updating FUSP Tree in Dynamic Database. IEA/AIE (1) 2014: 301-310
[c170]
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Shin-Shou Chen, Chien-Feng Huang, Tzung-Pei Hong, Bao Rong Chang:
Using a Genetic Model for Asset Allocation in Stock Investment. ICS 2014: 167-174
[c169]
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Guo-Cheng Lan, Tzung-Pei Hong, Yu-Chieh Tseng, Shyue-Liang Wang:
Utility Knowledge Fusion in a Multi-site Environment. MISNC 2014: 171-178
[c168]
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Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Jeng-Shyang Pan:
Updating the Built FUSP Trees with Sequence Deletion Based on Prelarge Concept. MISNC 2014: 417-426
[c167]
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Yu-Chuan Tsai, Shyue-Liang Wang, Tzung-Pei Hong, Hung-Yu Kao:
[K1, K2]-anonymization of Shortest Paths. MoMM 2014: 317-321
[c166]
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Tzung-Pei Hong, Ling-I Huang, Wen-Yang Lin:
A Different Perspective on Parallel Sub-Ant-Colonies. MoMM 2014: 322-325
[c165]
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Guo-Cheng Lan, Tzung-Pei Hong, Yi-Hsin Lin, Shyue-Liang Wang:
Fast discovery of high fuzzy utility itemsets. SMC 2014: 2764-2767
[c164]
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Shin-Shou Chen, Chien-Feng Huang, Tzung-Pei Hong:
An Improved Multi-Objective Genetic Model for Stock Selection with Domain Knowledge. TAAI 2014: 66-73
2013
[j143]
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Tzung-Pei Hong, Chun-Wei Lin, Kuo-Tung Yang, Shyue-Liang Wang:
Using TF-IDF to hide sensitive itemsets. Appl. Intell. 38(4): 502-510 (2013)
[j142]
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Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong, Hoang Chi Thanh:
CAR-Miner: An efficient algorithm for mining class-association rules. Expert Syst. Appl. 40(6): 2305-2311 (2013)
[j141]
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Kung-Jiuan Yang, Tzung-Pei Hong, Yuh-Min Chen, Guo-Cheng Lan:
Projection-based partial periodic pattern mining for event sequences. Expert Syst. Appl. 40(10): 4232-4240 (2013)
[j140]
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Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong, Yui-Kai Lin:
Mining high coherent association rules with consideration of support measure. Expert Syst. Appl. 40(16): 6531-6537 (2013)
[j139]
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Shyue-Liang Wang, Yu-Chuan Tsai, Hung-Yu Kao, I-Hsien Ting, Tzung-Pei Hong:
Shortest Paths Anonymization on Weighted Graphs. Int. J. Softw. Eng. Knowl. Eng. 23(1): 65-80 (2013)
[j138]
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Shyue-Liang Wang, Chung-Yi Chen, I-Hsien Ting, Tzung-Pei Hong:
Anonymous Spatial Query on Non-Uniform Data. Int. J. Data Warehous. Min. 9(4): 44-61 (2013)
[j137]
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Chun-Wei Lin, Tzung-Pei Hong, Chia-Ching Chang, Shyue-Liang Wang:
A Greedy-based Approach for Hiding Sensitive Itemsets by Transaction Insertion. J. Inf. Hiding Multim. Signal Process. 4(4): 201-214 (2013)
[j136]
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Chun-Wei Lin, Tzung-Pei Hong, Yi-Fan Chen, Tsung-Ching Lin, Shing-Tai Pan:
An Integrated MFFP-tree Algorithm for Mining Global Fuzzy Rules from Distributed Databases. J. Univers. Comput. Sci. 19(4): 521-538 (2013)
[j135]
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Bay Vo, Tzung-Pei Hong, Bac Le:
A lattice-based approach for mining most generalization association rules. Knowl. Based Syst. 45: 20-30 (2013)
[j134]
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Chun-Hao Chen, Ji-Syuan He, Tzung-Pei Hong:
MOGA-based fuzzy data mining with taxonomy. Knowl. Based Syst. 54: 53-65 (2013)
[j133]
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Chun-Hao Chen, Vincent S. Tseng, Hsieh-Hui Yu, Tzung-Pei Hong:
Time series pattern discovery by a PIP-based evolutionary approach. Soft Comput. 17(9): 1699-1710 (2013)
[j132]
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Chun-Wei Lin, Tzung-Pei Hong:
A survey of fuzzy web mining. WIREs Data Mining Knowl. Discov. 3(3): 190-199 (2013)
[c163]
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Guo-Cheng Lan, Tzung-Pei Hong, Pei-Shan Wu, Shusaku Tsumoto:
Mining hierarchical temporal association rules in a publication database. ICCI*CC 2013: 503-508
[c162]
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Shing-Tai Pan, Yan-Jia Chiou, Tzung-Pei Hong, Hung-Chin Chen:
Automatic recognition for arrhythmias with the assistance of Hidden Markov model. ICICS 2013: 1-5
[c161]
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Kung-Jiuan Yang, Guo-Cheng Lan, Tzung-Pei Hong, Yuh-Min Chen:
Partial periodic patterns mining with multiple minimum supports. ICICS 2013: 1-4
[c160]
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Bac Le, Chanh-Truc Tran, Tzung-Pei Hong, Bay Vo:
A Space-Time Trade Off for FUFP-trees Maintenance. ACIIDS (2) 2013: 206-214
[c159]
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Chun-Wei Lin, Guo-Cheng Lan, Tzung-Pei Hong, Lingping Kong:
Mining High Utility Itemsets Based on Transaction Deletion. EMC/HumanCom 2013: 983-990
[c158]
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Chun-Hao Chen, Ji-Syuan He, Tzung-Pei Hong:
A two-stage multi-objective genetic-fuzzy mining algorithm. GEFS 2013: 16-20
[c157]
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Chun-Wei Lin, Tzung-Pei Hong, Jia-Wei Wong, Guo-Cheng Lan:
Privacy preserving high utility mining based on genetic algorithms. GrC 2013: 191-195
[c156]
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Guo-Cheng Lan, Tzung-Pei Hong, Yi-Hsin Lin, Chun-Wei Tsai:
Mining fuzzy frequent itemsets by projection techniques. ICMLC 2013: 1691-1694
[c155]
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Shyue-Liang Wang, Jia-Wei Chen, I-Hsien Ting, Tzung-Pei Hong:
Sensitive and Neighborhood Privacy on Shortest Paths in the Cloud. iiWAS 2013: 555
[c154]
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Bay Vo, Chun-Wei Lin, Tzung-Pei Hong, Vinh V. Vu, Minh Nguyen, Bac Le:
An Efficient Method for Hiding High Utility Itemsets. KES-AMSTA 2013: 356-363
[c153]
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Bay Vo, Tuong Le, Tzung-Pei Hong, Bac Le:
Maintenance of a Frequent-Itemset Lattice Based on Pre-large Concept. KSE (2) 2013: 295-305
[c152]
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Shyue-Liang Wang, Ching-Chuan Shih, I-Hsien Ting, Tzung-Pei Hong:
Degree Anonymization for K-Shortest-Path Privacy. SMC 2013: 1093-1097
[c151]
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Guo-Cheng Lan, Tzung-Pei Hong, Hong-Yu Lee, Shyue-Liang Wang, Chun-Wei Tsai:
Enhancing the Efficiency in Mining Weighted Frequent Itemsets. SMC 2013: 1104-1108
[c150]
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Chun-Wei Tsai, Alexander Pelov, Ming-Chao Chiang, Chu-Sing Yang, Tzung-Pei Hong:
A Brief Introduction to Classification for Smart Grid. SMC 2013: 2905-2909
[c149]
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Bay Vo, Frans Coenen, Tuong Le, Tzung-Pei Hong:
A Hybrid Approach for Mining Frequent Itemsets. SMC 2013: 4647-4651
[p7]
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Thien-Phuong Le, Bay Vo, Tzung-Pei Hong, Bac Le, Jason J. Jung:
Maintenance of IT-Tree for Transactions Deletion. Advanced Methods for Computational Collective Intelligence 2013: 157-166
2012
[j131]
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Fuzzy data mining for time-series data. Appl. Soft Comput. 12(1): 536-542 (2012)
[j130]
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Chun-Wei Lin, Tzung-Pei Hong:
A new mining approach for uncertain databases using CUFP trees. Expert Syst. Appl. 39(4): 4084-4093 (2012)
[j129]
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Chun-Wei Lin, Guo-Cheng Lan, Tzung-Pei Hong:
An incremental mining algorithm for high utility itemsets. Expert Syst. Appl. 39(8): 7173-7180 (2012)
[j128]
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Bay Vo, Tzung-Pei Hong, Bac Le:
DBV-Miner: A Dynamic Bit-Vector approach for fast mining frequent closed itemsets. Expert Syst. Appl. 39(8): 7196-7206 (2012)
[j127]
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Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong, Hoang Chi Thanh:
Classification based on association rules: A lattice-based approach. Expert Syst. Appl. 39(13): 11357-11366 (2012)
[j126]
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Finding Pareto-front Membership Functions in Fuzzy Data Mining. Int. J. Comput. Intell. Syst. 5(2): 343-354 (2012)
[j125]
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
Efficiently Mining High Average-Utility Itemsets with an Improved Upper-Bound Strategy. Int. J. Inf. Technol. Decis. Mak. 11(5): 1009- (2012)
[j124]
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Tzung-Pei Hong, Ya-Fang Tung, Shyue-Liang Wang, Yu-Lung Wu, Min-Thai Wu:
A multi-level ant-colony mining algorithm for membership functions. Inf. Sci. 182(1): 3-14 (2012)
[j123]
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Shing-Tai Pan, Tzung-Pei Hong:
Robust Speech Recognition by DHMM with A Codebook Trained by Genetic Algorithm. J. Inf. Hiding Multim. Signal Process. 3(4): 306-319 (2012)
[j122]
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
A Projection-Based Approach for Discovering High Average-Utility Itemsets. J. Inf. Sci. Eng. 28(1): 193-209 (2012)
[j121]
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Min-Thai Wu, Tzung-Pei Hong, Chung-Nan Lee:
A continuous ant colony system framework for fuzzy data mining. Soft Comput. 16(12): 2071-2082 (2012)
[c148]
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Tzung-Pei Hong, Chun-Wei Lin, Tsung-Ching Lin, Yi-Fan Chen, Shing-Tai Pan:
Integration of Multiple Fuzzy FP-trees. ACIIDS (1) 2012: 330-337
[c147]
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Tzung-Pei Hong, Feng-Shih Lin, Chun-Hao Chen:
Using the group genetic algorithm for attribute clustering. IEEE Congress on Evolutionary Computation 2012: 1-5
[c146]
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Chun-Hao Chen, Ai-Fang Li, Yeong-Chyi Lee, Tzung-Pei Hong:
Mining fuzzy coherent rules from quantitative transactions without minimum support threshold. FUZZ-IEEE 2012: 1-5
[c145]
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Tzung-Pei Hong, Chun-Wei Lin, Tsung-Ching Lin, Shyue-Liang Wang:
Incremental multiple fuzzy frequent pattern tree. FUZZ-IEEE 2012: 1-5
[c144]
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Chun-Wei Tsai, Tzu-Yuan Lin, Ming-Chao Chiang, Chu-Sing Yang, Tzung-Pei Hong:
Continuous space pattern reduction for genetic clustering algorithm. GECCO (Companion) 2012: 1475-1476
[c143]
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Chun-Hao Chen, Chi-Hsuan Ho, Tzung-Pei Hong, Wei-Tee Lin:
MOGA for multi-level fuzzy data mining. GrC 2012: 32-37
[c142]
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng, Shyue-Liang Wang:
An improved approach for sequential utility pattern mining. GrC 2012: 226-230
[c141]
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Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong, Hoang Chi Thanh:
A fast algorithm for classification based on association rules. GrC 2012: 365-369
[c140]
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Tzung-Pei Hong, Ting-I Chien, Yeong-Chyi Lee, Yu-Lung Wu:
A Bio-Inspired Algorithm for Solving the Scheduling Problems with Redundant Molds. IBICA 2012: 24-28
[c139]
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Chanh-Truc Tran, Bay Vo, Tzung-Pei Hong, Chun-Wei Lin, Bac Le:
An Enhanced FUFP-Tree Maintenance Approach for Transaction Deletion. IBICA 2012: 45-50
[c138]
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Bay Vo, Minh-Thai Tran, Tzung-Pei Hong, Hieu Nguyen, Bac Le:
A Dynamic Bit-vector Approach for Efficiently Mining Inter-sequence Patterns. IBICA 2012: 51-56
[c137]
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Yu-Chuan Tsai, Shyue-Liang Wang, Hung-Yu Kao, Tzung-Pei Hong:
Confining Edge Types in K-anonymization of Shortest Paths. IBICA 2012: 318-322
[c136]
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Loan T. T. Nguyen, Bay Vo, Tzung-Pei Hong, Hoang Chi Thanh:
Interestingness Measures for Classification Based on Association Rules. ICCCI (2) 2012: 383-392
[c135]
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Thi-Thiet Pham, Jiawei Luo, Tzung-Pei Hong, Bay Vo:
MSGPs: A Novel Algorithm for Mining Sequential Generator Patterns. ICCCI (2) 2012: 393-401
[c134]
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Shyue-Liang Wang, Chung-Yi Chen, I-Hsien Ting, Tzung-Pei Hong:
Anonymous spatial query on non-uniform data. iiWAS 2012: 126-131
[c133]
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Thien-Phuong Le, Tzung-Pei Hong, Bay Vo, Bac Le:
An Efficient Incremental Mining Approach Based on IT-Tree. RIVF 2012: 1-5
[c132]
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Shyue-Liang Wang, Chung-Yi Chen, I-Hsien Ting, Tzung-Pei Hong:
Multi-layer partition for query location anonymization. SMC 2012: 378-383
[c131]
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Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong, Yui-Kai Lin:
A High Coherent Association Rule Mining Algorithm. TAAI 2012: 1-4
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Bac Le, Thien-Phuong Le, Bay Vo, Tzung-Pei Hong:
Maintenance of DBV-Trees for Transaction Insertion. TAAI 2012: 165-170
[c129]
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Wen-Yang Lin, Tzung-Pei Hong, Shu-Min Liu, Jiann-Horng Lin:
Revisiting the Design of Adaptive Migration Schemes for Multipopulation Genetic Algorithms. TAAI 2012: 338-343
[c128]
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Yau-Hwang Kuo, Vincent Shin-Mu Tseng, Hung-Yu Kao, Tzung-Pei Hong, Mong-Fong Horng:
TAAI 2012 Preface. TAAI 2012: xi
2011
[j120]
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Tzung-Pei Hong, Chih-Wei Wu:
Mining rules from an incomplete dataset with a high missing rate. Expert Syst. Appl. 38(4): 3931-3936 (2011)
[j119]
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
Discovery of high utility itemsets from on-shelf time periods of products. Expert Syst. Appl. 38(5): 5851-5857 (2011)
[j118]
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Tzung-Pei Hong, Cheng-Ming Huang, Shi-Jinn Horng:
Discovering fuzzy inter- and intra-object associations. Expert Syst. Appl. 38(6): 6777-6786 (2011)
[j117]
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Tzung-Pei Hong, Ching-Yao Wang, Shian-Shyong Tseng:
An incremental mining algorithm for maintaining sequential patterns using pre-large sequences. Expert Syst. Appl. 38(6): 7051-7058 (2011)
[j116]
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
An effective tree structure for mining high utility itemsets. Expert Syst. Appl. 38(6): 7419-7424 (2011)
[j115]
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Tzung-Pei Hong, Cho-Han Lee, Shyue-Liang Wang:
Effective utility mining with the measure of average utility. Expert Syst. Appl. 38(7): 8259-8265 (2011)
[j114]
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Chun-Wei Lin, Tzung-Pei Hong:
Temporal data mining with up-to-date pattern trees. Expert Syst. Appl. 38(12): 15143-15150 (2011)
[j113]
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Tzung-Pei Hong, Wei-Tee Lin, Chun-Hao Chen, Chen-Sen Ouyang:
Evolutionarily adjusting membership functions in Takagi-Sugeno fuzzy systems. Int. J. Intell. Inf. Database Syst. 5(3): 229-245 (2011)
[j112]
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Tzung-Pei Hong, Cheng-Hsi Wu:
An Improved Weighted Clustering Algorithm for Determination of Application Nodes in Heterogeneous Sensor Networks. J. Inf. Hiding Multim. Signal Process. 2(2): 173-184 (2011)
[j111]
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Shusaku Tsumoto, Tzung-Pei Hong:
Special issue on data mining for decision making and risk management. J. Intell. Inf. Syst. 36(3): 249-251 (2011)
[j110]
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Shyue-Liang Wang, Jyun-Da Chen, Paul A. Stirpe, Tzung-Pei Hong:
Risk-neutral evaluation of information security investment on data centers. J. Intell. Inf. Syst. 36(3): 329-345 (2011)
[j109]
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Been-Chian Chien, Jui-Hsiang Yang, Tzung-Pei Hong:
Learning Discriminant Functions based on Genetic Programming and Rough Sets. J. Multiple Valued Log. Soft Comput. 17(2-3): 135-155 (2011)
[j108]
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering. Soft Comput. 15(12): 2319-2333 (2011)
[c127]
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Shyue-Liang Wang, Zheng-Ze Tsai, Tzung-Pei Hong, I-Hsien Ting:
Anonymizing Shortest Paths on Social Network Graphs. ACIIDS (1) 2011: 129-136
[c126]
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Tzung-Pei Hong, Chun-Wei Lin, Tsung-Ching Lin, Shing-Tai Pan:
Upper-bound multiple fuzzy frequent-pattern trees. FUZZ-IEEE 2011: 218-222
[c125]
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Chun-Hao Chen, Tzung-Pei Hong, Yeong-Chyi Lee:
A multiple-level genetic-fuzzy mining algorithm. FUZZ-IEEE 2011: 278-282
[c124]
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Shing-Tai Pan, Sheng-Fu Liang, Tzung-Pei Hong, Jian-Hong Zeng:
Apply fuzzy vector quantization to improve the observation-based Discrete Hidden Markov Model - An example on electroencephalogram (EEG) signal recognition. FUZZ-IEEE 2011: 1674-1680
[c123]
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Tzung-Pei Hong, Chun-Wei Lin, Chia-Ching Chang, Shyue-Liang Wang:
Hiding sensitive itemsets by inserting dummy transactions. GrC 2011: 246-249
[c122]
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Thien-Phuong Le, Bay Vo, Tzung-Pei Hong, Bac Le:
Incremental mining frequent itemsets based on the trie structure and the pre-large itemsets. GrC 2011: 369-373
[c121]
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Shyue-Liang Wang, Yu-Chuan Tsai, Hung-Yu Kao, Tzung-Pei Hong:
K-anonymity on sensitive transaction items. GrC 2011: 723-727
[c120]
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Guo-Cheng Lan, Chun-Hao Chen, Tzung-Pei Hong, Shih-Bin Lin:
A fuzzy approach for mining general temporal association rules in a publication database. HIS 2011: 611-615
[c119]
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Shyue-Liang Wang, Zheng-Ze Tsai, Tzung-Pei Hong, I-Hsien Ting, Yu-Chuan Tsai:
Anonymizing Multiple K-anonymous Shortest Paths for Social Graphs. IBICA 2011: 195-198
[c118]
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Chun-Wei Lin, Tzung-Pei Hong, Hong-Yu Lee, Shyue-Liang Wang:
Maintenance of Pre-large FUSP Trees in Dynamic Databases. IBICA 2011: 199-202
[c117]
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Tzung-Pei Hong, Chun-Wei Lin, Kuo-Tung Yang, Shyue-Liang Wang:
A Heuristic Data-Sanitization Approach Based on TF-IDF. IEA/AIE (1) 2011: 156-164
[c116]
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Tzung-Pei Hong, Jheng-Nan Huang, Wen-Yang Lin, Ming-Chao Chiang:
GA-based item partition for data mining. SMC 2011: 2238-2242
[c115]
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Tzung-Pei Hong, Chun-Wei Lin, Kuo-Tung Yang, Shyue-Liang Wang:
A lattice-based data sanitization approach. SMC 2011: 2325-2329
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Tzung-Pei Hong, Yasuo Kudo, Mineichi Kudo, Tsau Young Lin, Been-Chian Chien, Shyue-Liang Wang, Masahiro Inuiguchi, Guilong Liu:
2011 IEEE International Conference on Granular Computing, GrC-2011, Kaohsiung, Taiwan, November 8-10, 2011. IEEE Computer Society 2011, ISBN 978-1-4577-0372-0 [contents]
2010
[j107]
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Tzung-Pei Hong, Chuan-Kang Ting, Oliver Kramer:
Theory and Applications of Evolutionary Computation. Appl. Comput. Intell. Soft Comput. 2010: 360796:1-360796:2 (2010)
[j106]
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Tzung-Pei Hong, Ching-Yao Wang:
An efficient and effective association-rule maintenance algorithm for record modification. Expert Syst. Appl. 37(1): 618-626 (2010)
[j105]
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Kun-Ming Yu, Jiayi Zhou, Tzung-Pei Hong, Jia-Ling Zhou:
A load-balanced distributed parallel mining algorithm. Expert Syst. Appl. 37(3): 2459-2464 (2010)
[j104]
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Tzung-Pei Hong, Li-Huei Tseng, Been-Chian Chien:
Mining from incomplete quantitative data by fuzzy rough sets. Expert Syst. Appl. 37(3): 2644-2653 (2010)
[j103]
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
Linguistic data mining with fuzzy FP-trees. Expert Syst. Appl. 37(6): 4560-4567 (2010)
[j102]
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Jinsong Leng, Tzung-Pei Hong:
Mining Outliers in Correlated Subspaces for High Dimensional Data Sets. Fundam. Informaticae 98(1): 71-86 (2010)
[j101]
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Shyue-Liang Wang, Ting-Zheng Lai, Tzung-Pei Hong, Yu-Lung Wu:
Hiding collaborative recommendation association rules on horizontally partitioned data. Intell. Data Anal. 14(1): 47-67 (2010)
[j100]
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Tzung-Pei Hong, Ching-Yao Wang, Chun-Wei Lin:
Providing Timely updated Sequential Patterns in Decision Making. Int. J. Inf. Technol. Decis. Mak. 9(6): 873-888 (2010)
[j99]
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Radoslaw P. Katarzyniak, Ngoc Thanh Nguyen, Tzung-Pei Hong:
Special Issue on Knowledge and Information Discovery in New Generation Systems. New Gener. Comput. 28(1): 1-3 (2010)
[j98]
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
Using the Structure of Prelarge Trees to Incrementally Mine Frequent Itemsets. New Gener. Comput. 28(1): 5-20 (2010)
[c114]
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
Efficiently Mining High Average Utility Itemsets with a Tree Structure. ACIIDS (1) 2010: 131-139
[c113]
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
A Three-Scan Algorithm to Mine High On-Shelf Utility Itemsets. ACIIDS (2) 2010: 351-358
[c112]
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Tzung-Pei Hong, Po-Cheng Wang, Chuan-Kang Ting:
An evolutionary attribute clustering and selection method based on feature similarity. IEEE Congress on Evolutionary Computation 2010: 1-5
[c111]
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A SPEA2-based genetic-fuzzy mining algorithm. FUZZ-IEEE 2010: 1-5
[c110]
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
A two-phase fuzzy mining approach. FUZZ-IEEE 2010: 1-5
[c109]
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Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng:
Genetic-Fuzzy Data Mining Techniques. GrC 2010: 26-27
[c108]
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Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng:
A Summary of Genetic-Fuzzy Data Mining Techniques. GrC 2010: 28-29
[c107]
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Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Hsin-Yi Chen, Hung-Yu Kao:
Incrementally Mining High Utility Itemsets in Dynamic Databases. GrC 2010: 303-307
[c106]
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Shyue-Liang Wang, Tzung-Pei Hong, Yu-Chuan Tsai, Hung-Yu Kao:
Hiding Sensitive Association Rules on Stars. GrC 2010: 505-508
[c105]
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Shyue-Liang Wang, Yu-Chuan Tsai, Hung-Yu Kao, Tzung-Pei Hong:
Anonymizing Set-Valued Social Data. GreenCom/CPSCom 2010: 809-812
[c104]
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Yeong-Chyi Lee, Tzung-Pei Hong, Chun-Hao Chen:
Mining Generalized Association Rules with Quantitative Data under Multiple Support Constraints. ICCCI (2) 2010: 224-231
[c103]
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Min-Thai Wu, Tzung-Pei Hong, Chung-Nan Lee:
An Improved Ant Algorithm for Fuzzy Data Mining. ICCCI (2) 2010: 344-351
[c102]
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Shyue-Liang Wang, Tzung-Pei Hong, Yu-Chuan Tsai, Hung-Yu Kao:
Multi-table association rules hiding. ISDA 2010: 1298-1302
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Tzung-Pei Hong, Chun-Wei Lin, Tsung-Ching Lin:
Mining complete fuzzy frequent itemsets by tree structures. SMC 2010: 563-567
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Tzung-Pei Hong, Min-Thai Wu, Yeong-Chyi Lee:
Using dynamic mutation rates in gene-set genetic algorithms. SMC 2010: 4018-4022

2000 – 2009

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2009
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Tzung-Pei Hong, Cheng-Ming Huang, Shi-Jinn Horng:
Discovering fuzzy personal moving profiles in wireless networks. Appl. Soft Comput. 9(2): 667-676 (2009)
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Tzung-Pei Hong, Po-Cheng Wang, Yeong-Chyi Lee:
An Effective Attribute Clustering Approach for Feature Selection and Replacement. Cybern. Syst. 40(8): 657-669 (2009)
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Tzung-Pei Hong, Chun-Wei Lin, Yu-Lung Wu:
Maintenance of fast updated frequent pattern trees for record deletion. Comput. Stat. Data Anal. 53(7): 2485-2499 (2009)
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Tzung-Pei Hong, Chyan-Yuan Horng, Chih-Hung Wu, Shyue-Liang Wang:
An improved data mining approach using predictive itemsets. Expert Syst. Appl. 36(1): 72-80 (2009)
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Yu-Hui Tao, Tzung-Pei Hong, Wen-Yang Lin, Wen-Yuan Chiu:
A practical extension of web usage mining with intentional browsing data toward usage. Expert Syst. Appl. 36(2): 3937-3945 (2009)
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Mining fuzzy frequent trends from time series. Expert Syst. Appl. 36(2): 4147-4153 (2009)
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Tzung-Pei Hong, Yan-Liang Liou, Shyue-Liang Wang:
Fuzzy rough sets with hierarchical quantitative attributes. Expert Syst. Appl. 36(3): 6790-6799 (2009)
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
The Pre-FUFP algorithm for incremental mining. Expert Syst. Appl. 36(5): 9498-9505 (2009)
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Tzung-Pei Hong, Yi-Ying Wu, Shyue-Liang Wang:
An effective mining approach for up-to-date patterns. Expert Syst. Appl. 36(6): 9747-9752 (2009)
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
An improved approach to find membership functions and multiple minimum supports in fuzzy data mining. Expert Syst. Appl. 36(6): 10016-10024 (2009)
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Cheng-Ming Huang, Tzung-Pei Hong, Shi-Jinn Horng:
Discovering mobile users' moving behaviors in wireless networks. Expert Syst. Appl. 36(8): 10809-10814 (2009)
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Tzung-Pei Hong, Ya-Fang Tung, Shyue-Liang Wang, Min-Thai Wu, Yu-Lung Wu:
An ACS-based framework for fuzzy data mining. Expert Syst. Appl. 36(9): 11844-11852 (2009)
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Vincent S. Tseng, Chun-Hao Chen, Pai-Chieh Huang, Tzung-Pei Hong:
Cluster-based genetic segmentation of time series with DWT. Pattern Recognit. Lett. 30(13): 1190-1197 (2009)
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Chang-Shing Lee:
A genetic-fuzzy mining approach for items with multiple minimum supports. Soft Comput. 13(5): 521-533 (2009)
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Chang-Shing Lee, Mei-Hui Wang, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Shang-Rong Tsai, Shun-Chin Hsu, Tzung-Pei Hong:
The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments. IEEE Trans. Comput. Intell. AI Games 1(1): 73-89 (2009)
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Tzung-Pei Hong, Wei-Tee Lin, Chun-Hao Chen, Chen-Sen Ouyang:
Learning Membership Functions in Takagi-Sugeno Fuzzy Systems by Genetic Algorithms. ACIIDS 2009: 301-306
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Chang-Shing Lee, Mei-Hui Wang, Tzung-Pei Hong, Guillaume Chaslot, Jean-Baptiste Hoock, Arpad Rimmel, Olivier Teytaud, Yau-Hwang Kuo:
A novel ontology for computer go knowledge management. FUZZ-IEEE 2009: 1056-1061
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
Fuzzy data mining based on the compressed fuzzy FP-trees. FUZZ-IEEE 2009: 1068-1072
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Speeding up genetic-fuzzy mining by fuzzy clustering. FUZZ-IEEE 2009: 1695-1699
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Tzung-Pei Hong, Po-Cheng Wang, Yeong-Chyi Lee:
Automatic attribute clustering based on genetic algorithms. GrC 2009: 214-218
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Shyue-Liang Wang, Ting-Zheng Lai, Tzung-Pei Hong, Yu-Lung Wu:
Hiding Predictive Association Rules on Horizontally Distributed Data. IEA/AIE 2009: 133-141
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Tzung-Pei Hong, Cho-Han Lee, Shyue-Liang Wang:
An Incremental Mining Algorithm for High Average-Utility Itemsets. ISPAN 2009: 421-425
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Tzung-Pei Hong, Cho-Han Lee, Shyue-Liang Wang:
Mining High Average-Utility Itemsets. SMC 2009: 2526-2530
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
Mining Up-to-Date Knowledge Based on Tree Structures. SoCPaR 2009: 123-127
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Been-Chian Chien, Tzung-Pei Hong, Shyi-Ming Chen, Moonis Ali:
Next-Generation Applied Intelligence, 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2009, Tainan, Taiwan, June 24-27, 2009. Proceedings. Lecture Notes in Computer Science 5579, Springer 2009, ISBN 978-3-642-02567-9 [contents]
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Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng:
Genetic-Fuzzy Data Mining Techniques. Encyclopedia of Complexity and Systems Science 2009: 4145-4160
2008
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Chan-Sheng Kuo, Tzung-Pei Hong, Chuen-Lung Chen:
An Improved Knowledge-Acquisition Strategy Based on Genetic Programming. Cybern. Syst. 39(7): 672-685 (2008)
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Yeong-Chyi Lee, Tzung-Pei Hong, Tien-Chin Wang:
Multi-level fuzzy mining with multiple minimum supports. Expert Syst. Appl. 34(1): 459-468 (2008)
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Tzung-Pei Hong, Chun-E Lin, Jiann-Horng Lin, Shyue-Liang Wang:
Learning cross-level certain and possible rules by rough sets. Expert Syst. Appl. 34(3): 1698-1706 (2008)
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Yu-Hui Tao, Tzung-Pei Hong, Yu-Ming Su:
Web usage mining with intentional browsing data. Expert Syst. Appl. 34(3): 1893-1904 (2008)
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Tzung-Pei Hong, Chun-Wei Lin, Yu-Lung Wu:
Incrementally fast updated frequent pattern trees. Expert Syst. Appl. 34(4): 2424-2435 (2008)
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Wei-Chou Chen, Shian-Shyong Tseng, Tzung-Pei Hong:
An efficient bit-based feature selection method. Expert Syst. Appl. 34(4): 2858-2869 (2008)
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Shyue-Liang Wang, Rajeev Maskey, Ayat Jafari, Tzung-Pei Hong:
Efficient sanitization of informative association rules. Expert Syst. Appl. 35(1-2): 442-450 (2008)
[j75]
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Tzung-Pei Hong, Cheng-Ming Huang, Shi-Jinn Horng:
Linguistic object-oriented web-usage mining. Int. J. Approx. Reason. 48(1): 47-61 (2008)
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Tzung-Pei Hong, Min-Thai Wu:
A Hierarchical Gene-Set Genetic Algorithm. J. Comput. 3(11): 67-75 (2008)
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Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-Lung Wu:
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy. IEEE Trans. Evol. Comput. 12(2): 252-265 (2008)
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Chun-Hao Chen, Vincent S. Tseng, Tzung-Pei Hong:
Cluster-Based Evaluation in Fuzzy-Genetic Data Mining. IEEE Trans. Fuzzy Syst. 16(1): 249-262 (2008)
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Tzung-Pei Hong, Yan-Liang Liou:
Case-Based Reasoning with feature clustering. IEEE ICCI 2008: 449-454
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Vincent S. Tseng, Chun-Hao Chen, Pai-Chieh Huang, Tzung-Pei Hong:
A cluster-based genetic approach for segmentation of time series and pattern discovery. IEEE Congress on Evolutionary Computation 2008: 1949-1953
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A divide-and-conquer genetic-fuzzy mining approach for items with multiple minimum supports. FUZZ-IEEE 2008: 1231-1235
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Tzung-Pei Hong:
Some Techniques and Applications in Data Mining. GrC 2008: 34
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Lien-Chin Chen:
A Multi-objective Genetic-fuzzy Mining Algorithm. GrC 2008: 115-120
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Tzung-Pei Hong, Yi-Ying Wu, Shyue-Liang Wang:
Mining Up-to-date Knowledge from Log Data. GrC 2008: 286-291
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, Hsin-Yi Chen:
An FUSP-Tree Maintenance Algorithm for Record Modification. ICDM Workshops 2008: 649-653
[c83]
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Shyue-Liang Wang, Ting-Zheng Lai, Tzung-Pei Hong, Yu-Lung Wu:
Efficient Hiding of Collaborative Recommendation Association Rules with Updates. ICMLA 2008: 737-740
[c82]
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, Been-Chian Chien:
Incremental Mining with Prelarge Trees. IEA/AIE 2008: 169-178
[c81]
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Jie-Hung Lee, Chiu-Ching Tuan, Tzung-Pei Hong:
A maximum channel reuse scheme with Hopfield Neural Network based static cellular radio channel allocation systems. IJCNN 2008: 3660-3667
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, Wen-Yang Lin:
An Incremental FUSP-Tree Maintenance Algorithm. ISDA (1) 2008: 445-449
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports. PAKDD 2008: 864-869
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Tzung-Pei Hong, Jun-Song Dong, Wen-Yang Lin:
An integrated OWL data mining and query system. SMC 2008: 251-255
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Tzung-Pei Hong, Yan-Liang Liou, Cho-Han Lee:
Attribute clustering with unknown cluster numbers. SMC 2008: 2772-2776
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Shyue-Liang Wang, Ju-Wen Shen, Tzung-Pei Hong:
Incremental Discovery of Fuzzy Functional Dependencies. Handbook of Research on Fuzzy Information Processing in Databases 2008: 615-633
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Mining Linguistic Trends from Time Series. Data Mining: Foundations and Practice 2008: 49-60
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Tzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Vincent S. Tseng:
Fining Active Membership Functions in Fuzzy Data Mining. Data Mining: Foundations and Practice 2008: 179-196
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Tzung-Pei Hong, Yeong-Chyi Lee:
An Overview of Mining Fuzzy Association Rules. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 397-410
2007
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Shyue-Liang Wang, Dipen Patel, Ayat Jafari, Tzung-Pei Hong:
Hiding collaborative recommendation association rules. Appl. Intell. 27(1): 67-77 (2007)
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Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang:
Mining fuzzy β-certain and β-possible rules from quantitative data based on the variable precision rough-set model. Expert Syst. Appl. 32(1): 223-232 (2007)
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Cheng-Ming Huang, Tzung-Pei Hong, Shi-Jinn Horng:
Mining knowledge from object-oriented instances. Expert Syst. Appl. 33(2): 441-450 (2007)
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Shyue-Liang Wang, Kuan-Wei Huang, Tien-Chin Wang, Tzung-Pei Hong:
Maintenance of informative ruler sets for predictions. Intell. Data Anal. 11(3): 279-292 (2007)
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Wen-Yang Lin, Tzung-Pei Hong, Shyi-Ming Chen:
Editorial. J. Adv. Comput. Intell. Intell. Informatics 11(4): 357 (2007)
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Tzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, Jiann-Horng Lin:
Dynamically Adjusting Migration Rates for Multi-Population Genetic Algorithms. J. Adv. Comput. Intell. Intell. Informatics 11(4): 410-415 (2007)
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Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong, Yianshu Chu:
Online Generation of Association Rules under Multi-dimensional Consideration Based on Negative-Border. J. Inf. Sci. Eng. 23(1): 233-242 (2007)
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Chan-Sheng Kuo, Tzung-Pei Hong, Chuen-Lung Chen:
Applying genetic programming technique in classification trees. Soft Comput. 11(12): 1165-1172 (2007)
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy. IEEE Congress on Evolutionary Computation 2007: 1-6
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Tzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, Jiann-Horng Lin:
Experimental analysis of dynamic migration intervals on 0/1 knapsack problems. IEEE Congress on Evolutionary Computation 2007: 1163-1167
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu:
Using the Pre-FUFP Algorithm for Handling New Transactions in Incremental Mining. CIDM 2007: 598-603
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A Comparison of Different Fitness Functions for Extracting Membership Functions Used in Fuzzy Data Mining. FOCI 2007: 550-555
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Yeong-Chyi Lee, Tzung-Pei Hong, Tien-Chin Wang:
Mining Generalized Association Rules from a Different Perspective. FSKD (3) 2007: 351-355
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Chang-Shing Lee:
A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports. FUZZ-IEEE 2007: 1-6
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Tzung-Pei Hong:
On Genetic-Fuzzy Data Mining Techniques. GrC 2007: 3
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, Chih-Hung Wu:
Maintenance of Fast Updated Frequent Trees for Record Deletion Based on Prelarge Concepts. IEA/AIE 2007: 675-684
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Jen-Peng Huang, Guo-Cheng Lan, Huang-Cheng Kuo, Tzung-Pei Hong:
A Decomposition Approach for Mining Frequent Itemsets. IIH-MSP 2007: 605-608
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Chan-Sheng Kuo, Tzung-Pei Hong, Chuen-Lung Chen:
Integrating Multiple Knowledge Sources by Genetic Programming. IIH-MSP 2007: 609-612
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Tzung-Pei Hong, Min-Thai Wu, Ya-Fang Tung, Shyue-Liang Wang:
Using escape operations in gene-set genetic algorithms. SMC 2007: 3907-3911
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Tzung-Pei Hong, Guo-Neng Shiu:
Allocating Multiple Base Stations under General Power Consumption by the Particle Swarm Optimization. SIS 2007: 23-28
2006
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Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong:
Flexible online association rule mining based on multidimensional pattern relations. Inf. Sci. 176(12): 1752-1780 (2006)
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Tzung-Pei Hong, Kuei-Ying Lin, Shyue-Liang Wang:
Mining fuzzy sequential patterns from quantitative transactions. Soft Comput. 10(10): 925-932 (2006)
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Tzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Yeong-Chyi Lee:
A GA-based Fuzzy Mining Approach to Achieve a Trade-off Between Number of Rules and Suitability of Membership Functions. Soft Comput. 10(11): 1091-1101 (2006)
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Chun-Hao Chen, Tzung-Pei Hong, Vincent Shin-Mu Tseng:
A Less Domain-dependent Fuzzy Mining Algorithm for Frequent Trends. FUZZ-IEEE 2006: 851-856
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
A Cluster-Based Fuzzy-Genetic Mining Approach for Association Rules and Membership Functions. FUZZ-IEEE 2006: 1411-1416
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Cheng-Ming Huang, Tzung-Pei Hong, Shi-Jinn Horng:
Simultaneously mining inter- and intra-object association rules. GrC 2006: 679-682
[c61]
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Chien-Lung Wang, Gwoboa Horng, Yu-Sheng Chen, Tzung-Pei Hong:
An Efficient Key-Update Scheme for Wireless Sensor Networks. International Conference on Computational Science (1) 2006: 1026-1029
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Vincent S. Tseng, Chun-Hao Chen, Chien-Hsiang Chen, Tzung-Pei Hong:
Segmentation of Time Series by the Clustering and Genetic Algorithms. ICDM Workshops 2006: 443-447
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Tzung-Pei Hong, Jerry Jun-Wei Lin, Yu-Lung Wu:
Maintenance of Fast Updated Frequent Pattern Trees for Record Modification. ICICIC (1) 2006: 570-573
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Yeong-Chyi Lee, Tzung-Pei Hong, Tien-Chin Wang:
Mining Multiple-Level Association Rules Under the Maximum Constraint of Multiple Minimum Supports. IEA/AIE 2006: 1329-1338
[c57]
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Tzung-Pei Hong, Yan-Liang Liou, Shyue-Liang Wang:
Learning with Hierarchical Quantitative Attributes by Fuzzy Rough Sets. JCIS 2006
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Tzung-Pei Hong, Ming-Wen Tsai, Tung-Kuan Liu:
Two-dimentional Encoding Schema and Genetic Operators. JCIS 2006
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Chien-Lung Wang, Tzung-Pei Hong, Gwoboa Horng, Wen-Hung Wang:
A Key Renewal Scheme under the Power Consumption for Wireless Sensor Networks. JCIS 2006
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Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong:
Improved Negative-Border Online Mining Approaches. PAKDD 2006: 483-492
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Wei-Shuo Lo, Tzung-Pei Hong, Rong Jeng, Jian-Ping Liu:
Intelligent Agents in Supply Chain Management as an Early Warning Mechanism. SMC 2006: 2161-2166
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Tzung-Pei Hong, Jerry Jun-Wei Lin, Yu-Lung Wu:
A Fast Updated Frequent Pattern Tree. SMC 2006: 2167-2172
[c51]
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Cheng-Ming Huang, Tzung-Pei Hong, Shi-Jinn Horng:
Simultaneously Mining Fuzzy Inter- and Intra-Object Association Rules. SMC 2006: 2778-2783
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Pei-Ying Huang, Tzung-Pei Hong, Cheng-Yan Kao:
Combining Single-pass and Multiple-pass Heuristics for Group Flexible Flow-shop Scheduling Problems. SMC 2006: 3901-3906
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Yeong-Chyi Lee, Tzung-Pei Hong, Tien-Chin Wang:
Mining Fuzzy Multiple-level Association Rules under Multiple Minimum Supports. SMC 2006: 4112-4117
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Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Multidimensional On-line Mining. Foundations and Novel Approaches in Data Mining 2006: 243-257
2005
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Yeong-Chyi Lee, Tzung-Pei Hong, Wen-Yang Lin:
Mining association rules with multiple minimum supports using maximum constraints. Int. J. Approx. Reason. 40(1-2): 44-54 (2005)
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Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
Analyzing time-series data by fuzzy data-mining technique. GrC 2005: 112-117
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Tzung-Pei Hong, Wen-Chang Chang, Jiann-Horng Lin:
A Two-Phased Ontology Selection Approach for Semantic Web. KES (4) 2005: 403-409
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Tzung-Pei Hong, Cheng-Ming Huang, Shi-Jinn Horng:
Mining Linguistic Mobility Patterns for Wireless Networks. KES (3) 2005: 1352-1358
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Shyue-Liang Wang, Kuan-Wei Huang, Tien-Chin Wang, Tzung-Pei Hong:
Maintenance of discovered informative rule sets: incremental deletion. SMC 2005: 170-175
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Tzung-Pei Hong, Yeong-Chyi Lee, Min-Thai Wu:
Using the master-slave parallel architecture for genetic-fuzzy data mining. SMC 2005: 3232-3237
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Shyue-Liang Wang, Wei-Shuo Lo, Tzung-Pei Hong:
Discovery of Fuzzy Multiple-Level Web Browsing Patterns. Classification and Clustering for Knowledge Discovery 2005: 251-266
2004
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Tzung-Pei Hong, Chan-Sheng Kuo, Shyue-Liang Wang:
A fuzzy AprioriTid mining algorithm with reduced computational time. Appl. Soft Comput. 5(1): 1-10 (2004)
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Yu-Hui Tao, Tzung-Pei Hong, Sheng-I Sun:
An XML implementation process model for enterprise applications. Comput. Ind. 55(2): 181-196 (2004)
[j57]
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Wei-Shuo Lo, Tzung-Pei Hong, Shyue-Liang Wang, Yu-Hui Tao:
Semantic Web and Multiple-Agents in SCM. Int. J. Electron. Bus. Manag. 2(2): 122-130 (2004)
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Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong, Yianshu Chu:
A Three-phased Online Association Rule Mining Approach for Diverse Mining Requests. ICEB 2004: 1085-1090
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Tzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Yeong-Chyi Lee:
Using divide-and-conquer GA strategy in fuzzy data mining. ISCC 2004: 116-121
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Yeong-Chyi Lee, Tzung-Pei Hong, Wen-Yang Lin:
Mining Fuzzy Association Rules with Multiple Minimum Supports Using Maximum Constraints. KES 2004: 1283-1290
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Tzung-Pei Hong, Tzu-Jung Huang, Chao-Sheng Chang:
Maintenance of multiple-level association rules for record modification. SMC (4) 2004: 3140-3145
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Tzung-Pei Hong, Li-Huei Tseng, Been-Chian Chien:
Learning coverage rules from incomplete data based on rough sets. SMC (4) 2004: 3226-3231
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Shyue-Liang Wang, Mei-Hwa Wang, Wen-Yang Lin, Tzung-Pei Hong:
Adjustable discovery of adaptive-support association rules for collaborative recommendation systems. SMC (4) 2004: 3250-3254
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Wen-Yang Lin, Tzung-Pei Hong, Shu-Min Liu:
On adapting migration parameters for multi-population genetic algorithms. SMC (6) 2004: 5731-5735
2003
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Tzung-Pei Hong, Kuei-Ying Lin, Been-Chian Chien:
Mining Fuzzy Multiple-Level Association Rules from Quantitative Data. Appl. Intell. 18(1): 79-90 (2003)
[j55]
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Ching-Hung Wang, Chang-Jiun Tsai, Tzung-Pei Hong, Shian-Shyong Tseng:
Fuzzy Inductive Learning Strategies. Appl. Intell. 18(2): 179-193 (2003)
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Tzung-Pei Hong, Kuei-Ying Lin, Shyue-Liang Wang:
Fuzzy data mining for interesting generalized association rules. Fuzzy Sets Syst. 138(2): 255-269 (2003)
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Wen-Yang Lin, Wen-Yung Lee, Tzung-Pei Hong:
Adapting Crossover and Mutation Rates in Genetic Algorithms. J. Inf. Sci. Eng. 19(5): 889-903 (2003)
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Shyue-Liang Wang, Mei-Hwa Wang, Wen-Yang Lin, Tzung-Pei Hong:
Efficient generation of Adaptive-Support Association Rules. SMC 2003: 894-899
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Shyue-Liang Wang, Kuan-Wei Huang, Tien-Chin Wang, Tzung-Pei Hong:
Maintenance of discovered informative rule sets: incremental insertion. SMC 2003: 2394-2399
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Tzung-Pei Hong, Chun-E Lin, Jiann-Horng Lin, Shyue-Liang Wang:
Learning a coverage set of multiple-level certain and possible rules by rough sets. SMC 2003: 2605-2610
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Wei-Shuo Lo, Tzung-Pei Hong, Shyue-Liang Wang:
A top-down fuzzy cross-level Web-mining approach. SMC 2003: 2684-2689
2002
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Tzung-Pei Hong, Hong-Shung Wang, Wen-Yang Lin, Wen-Yuan Lee:
Evolution of Appropriate Crossover and Mutation Operators in a Genetic Process. Appl. Intell. 16(1): 7-17 (2002)
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Tzung-Pei Hong, Li-Huei Tseng, Shyue-Liang Wang:
Learning rules from incomplete training examples by rough sets. Expert Syst. Appl. 22(4): 285-293 (2002)
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Been-Chian Chien, Jung-Yi Lin, Tzung-Pei Hong:
Learning discriminant functions with fuzzy attributes for classification using genetic programming. Expert Syst. Appl. 23(1): 31-37 (2002)
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Wei-Chou Chen, Shian-Shyong Tseng, Lu-Ping Chang, Tzung-Pei Hong, Mon-Fong Jiang:
A parallelized indexing method for large-scale case-based reasoning. Expert Syst. Appl. 23(2): 95-102 (2002)
[j48]
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Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Maintenance of discovered sequential patterns for record deletion. Intell. Data Anal. 6(5): 399-410 (2002)
[j47]
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Tzung-Pei Hong, Ke-Yuan Huang, Wen-Yang Lin:
Applying genetic algorithms to game search trees. Soft Comput. 6(3-4): 277-283 (2002)
[j46]
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Tzung-Pei Hong, Kuei-Ying Lin, Shyue-Liang Wang:
Mining linguistic browsing patterns in the world wide web. Soft Comput. 6(5): 329-336 (2002)
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Shyue-Liang Wang, Wei-Shuo Lo, Tzung-Pei Hong:
Discovery of Fuzzy Multiple-Level Web Browsing Patterns. FSKD 2002: 636-640
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Tzung-Pei Hong, Ming-Jer Chiang, Shyue-Liang Wang:
Mining from quantitative data with linguistic minimum supports and confidences. FUZZ-IEEE 2002: 494-499
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Tzung-Pei Hong, Li-Huei Tseng, Been-Chian Chien:
Learning fuzzy rules from incomplete quantitative data by rough sets. FUZZ-IEEE 2002: 1438-1443
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Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Maintenance of Sequential Patterns for Record Modification Using Pre-large Sequences. ICDM 2002: 693-696
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Jung-Yi Lin, Been-Chian Chien, Tzung-Pei Hong:
A Function-Based Classifier Learning Scheme Using Genetic Programming. PAKDD 2002: 92-103
[c27]
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Shyue-Liang Wang, Chun-Yin Kuo, Tzung-Pei Hong:
Mining fuzzy similar sequential patterns from quantitative data. SMC (2) 2002: 5
[c26]
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Wen-Yang Lin, Wen-Yuan Lee, Tzung-Pei Hong:
On self-adaptive multi-population genetic algorithms. SMC 2002: 6
2001
[j45]
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Tzung-Pei Hong, Ke-Yuan Huang, Wen-Yang Lin:
Adversarial Search by Evolutionary Computation. Evol. Comput. 9(3): 371-385 (2001)
[j44]
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Tzung-Pei Hong, Ching-Yao Wang, Yu-Hui Tao:
A new incremental data mining algorithm using pre-large itemsets. Intell. Data Anal. 5(2): 111-129 (2001)
[j43]
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Shyue-Liang Wang, Jenn-Shing Tsai, Tzung-Pei Hong:
Discovering functional dependencies from similarity-based fuzzy relational databases. Intell. Data Anal. 5(2): 131-149 (2001)
[j42]
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Tzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi:
Trade-off Between Computation Time and Number of Rules for Fuzzy Mining from Quantitative Data. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 9(5): 587-604 (2001)
[j41]
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Shyue-Liang Wang, Tzung-Pei Hong, Wen-Yang Lin:
Answering Null Queries by Analogical Reasoning on Similarity-based Fuzzy Relational Databases. J. Adv. Comput. Intell. Intell. Informatics 5(3): 163-171 (2001)
[j40]
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Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang:
A Fuzzy CDS-based Scheduling Algorithm for More Than Two Machine Centers. J. Adv. Comput. Intell. Intell. Informatics 5(4): 239-245 (2001)
[j39]
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Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
A Genetics-Based Approach to Knowledge Integration and Refinement. J. Inf. Sci. Eng. 17(1): 85-94 (2001)
[j38]
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Yao-Tung Hsu, Tzung-Pei Hong, Shian-Shyong Tseng:
Learning Concepts by Arranging Appropriate Training Order. Minds Mach. 11(3): 399-415 (2001)
[j37]
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Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang:
A palmer-based continuous fuzzy flexible flow-shop scheduling algorithm. Soft Comput. 5(6): 426-433 (2001)
[c25]
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Tzung-Pei Hong, Tzu-Ting Wang, Been-Chian Chien:
Learning Approximate Fuzzy Rules From Training Examples. FUZZ-IEEE 2001: 256-259
[c24]
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Tzung-Pei Hong, Chan-Sheng Kuo, Shyue-Liang Wang:
A Fuzzy AprioriTid Algorithm With Reduced Computational Time. FUZZ-IEEE 2001: 360-363
[c23]
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Tzung-Pei Hong, Yeong-Chyi Lee:
Mining Coverage-Based Fuzzy Rules by Evolutional Computation. ICDM 2001: 218-224
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Ching-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Maintenance of Sequential Patterns for Record Deletion. ICDM 2001: 536-541
2000
[j36]
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Tzung-Pei Hong, Jyh-Bin Chen:
Processing individual fuzzy attributes for fuzzy rule induction. Fuzzy Sets Syst. 112(1): 127-140 (2000)
[j35]
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Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Integrating membership functions and fuzzy rule sets from multiple knowledge sources. Fuzzy Sets Syst. 112(1): 141-154 (2000)
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Tzung-Pei Hong, Hong-Shung Wang, Wei-Chou Chen:
Simultaneously Applying Multiple Mutation Operators in Genetic Algorithms. J. Heuristics 6(4): 439-455 (2000)
[j33]
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Tzung-Pei Hong, Chai-Ying Lee:
Implementation of Fuzzy Learning from Examples. Intell. Autom. Soft Comput. 6(4): 261-269 (2000)
[j32]
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Tzung-Pei Hong, Shyue-Liang Wang:
Determining appropriate membership functions to simplify fuzzy induction. Intell. Data Anal. 4(1): 51-66 (2000)
[j31]
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Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang:
Knowledge acquisition from quantitative data using the rough-set theory. Intell. Data Anal. 4(3-4): 289-304 (2000)
[j30]
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Shyue-Liang Wang, Tzung-Pei Hong:
Incomplete Input Inference on Fuzzy Production Systems Supported by Petri Nets. Int. J. Artif. Intell. Tools 9(4): 537-549 (2000)
[j29]
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Tzung-Pei Hong, Tzu-Ting Wang:
Fuzzy flexible flow shops at two machine centers for continuous fuzzy domains. Inf. Sci. 129(1-4): 227-237 (2000)
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Tzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang:
Palmer-based flexible flow-shop scheduling for continuous fuzzy domains. FUZZ-IEEE 2000: 363-368
[c20]
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Shyue-Liang Wang, Tzung-Pei Hong:
Mining approximate dependency to answer null queries on similarity-based fuzzy relational databases. FUZZ-IEEE 2000: 615-620
[c19]
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Tzung-Pei Hong, Ching-Yao Wang, Yu-Hui Tao:
Incremental data mining based on two support thresholds. KES 2000: 436-439
[c18]
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Shyue-Liang Wang, Jenn-Shing Tsai, Tzung-Pei Hong:
Mining Functional Dependencies from Fuzzy Relational Databases. SAC (1) 2000: 490-493
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Tzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi, Shyue-Liang Wang:
Mining Fuzzy Rules from Quantitative Data Based on the AprioriTid Algorithm. SAC (1) 2000: 534-536
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Tzung-Pei Hong, Chan-Lon Wang, Shyue-Liang Wang:
A heuristic Gupta-based flexible flow-shop scheduling algorithm. SMC 2000: 319-322
[c15]
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Shyue-Liang Wang, Ju-Wen Shen, Tzung-Pei Hong:
Mining fuzzy functional dependencies from quantitative data. SMC 2000: 3600-3605
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Tzung-Pei Hong, Ke-Yuan Huang, Wen-Yang Lin:
A genetic search method for multi-player game playing. SMC 2000: 3858-3861

1990 – 1999

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1999
[j28]
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Ching-Hung Wang, Jau-Fu Liu, Tzung-Pei Hong, Shian-Shyong Tseng:
A fuzzy inductive learning strategy for modular rules. Fuzzy Sets Syst. 103(1): 91-105 (1999)
[j27]
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Tzung-Pei Hong, Jyh-Bin Chen:
Finding relevant attributes and membership functions. Fuzzy Sets Syst. 103(3): 389-404 (1999)
[j26]
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Tzung-Pei Hong, Chai-Ying Lee:
Effect of merging order on performance of fuzzy induction. Intell. Data Anal. 3(2): 139-151 (1999)
[j25]
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Tzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi:
Mining association rules from quantitative data. Intell. Data Anal. 3(5): 363-376 (1999)
[j24]
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Tzung-Pei Hong, Jyh-Jong Lee:
Parallel Neural Learning for Control Problems on a Bus-Based Architecture. Int. J. High Speed Comput. 10(3): 257-273 (1999)
[j23]
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Tzung-Pei Hong, Tzung-Nan Chuang:
Fuzzy palmer Scheduling for Flow Shops with More than Two Machines. J. Inf. Sci. Eng. 15(3): 397-406 (1999)
[j22]
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Wei-Chou Chen, Tzung-Pei Hong, Rong Jeng:
A framework of decision support systems for use on the World Wide Web. J. Netw. Comput. Appl. 22(1): 1-17 (1999)
[j21]
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Tzung-Pei Hong, Shian-Shyong Tseng:
Splitting and Merging Version Spaces to Learn Disjunctive Concepts. IEEE Trans. Knowl. Data Eng. 11(5): 813-815 (1999)
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Tzung-Pei Hong, Tzu-Ting Wang:
A New Fuzzy Flexible Flow-Shop Algorithm for Continous Fuzzy Domain. IEA/AIE 1999: 74-79
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Tzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi:
A fuzzy data mining algorithm for quantitative values. KES 1999: 480-483
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Wei-Chou Chen, Tzung-Pei Hong, Wen-Yang Lin:
A Composite Data Model in Object-Oriented Data Warehousing. TOOLS (31) 1999: 400-405
1998
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Tzung-Pei Hong, Cheng-Ming Huang, Kun-Ming Yu:
LPT scheduling for fuzzy tasks. Fuzzy Sets Syst. 97(3): 277-286 (1998)
[j19]
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Tzung-Pei Hong, Wei-Chou Chen:
Fuzzy Flexible-Flow Shops at Two Machine Centers. J. Adv. Comput. Intell. Intell. Informatics 2(4): 142-149 (1998)
[j18]
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Tzung-Pei Hong, Tzung-Nan Chuang:
Fuzzy scheduling on two-machine flow shop. J. Intell. Fuzzy Syst. 6(4): 471-481 (1998)
[j17]
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Tzung-Pei Hong, Tzung-Nan Chuang:
Fuzzy CDS scheduling for flow shops with more than two machines. J. Intell. Fuzzy Syst. 6(4): 483-494 (1998)
[j16]
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Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
A New Hybrid Learning Algorithm for Non-Linear Boundaries. J. Inf. Sci. Eng. 14(2): 305-325 (1998)
[j15]
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Tzung-Pei Hong, Shian-Shyong Tseng:
Primal-Dual Version Spaces for Acquisition of Disjunctive Concepts. J. Inf. Sci. Eng. 14(2): 327-345 (1998)
[j14]
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Tzung-Pei Hong, Hong-Shung Wang:
Automatically Adjusting Crossover Ratios of Multiple Crossover Operators. J. Inf. Sci. Eng. 14(2): 369-390 (1998)
[j13]
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Tzung-Pei Hong, Jyh-Jong Lee:
A Nearly Optimal Back-Propagation Learning Algorithm on a Bus-Based Architecture. Parallel Process. Lett. 8(3): 297-306 (1998)
[j12]
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Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Integrating fuzzy knowledge by genetic algorithms. IEEE Trans. Evol. Comput. 2(4): 138-149 (1998)
[j11]
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Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng, Chih-Mao Liao:
Automatically integrating multiple rule sets in a distributed-knowledge environment. IEEE Trans. Syst. Man Cybern. Part C 28(3): 471-476 (1998)
[c10]
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Tzung-Pei Hong, Chai-Ying Lee:
Learning Fuzzy Knowledge from Training Examples. CIKM 1998: 161-166
[c9]
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Tzung-Pei Hong, Jyh-Jong Lee:
Parallel Neural Learning by Iteratively Adjusting Error Thresholds. ICPADS 1998: 107-
[c8]
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Tzung-Pei Hong, Jyh-Bin Chen:
Building a hierarchical representation of membership functions. ICTAI 1998: 236-241
[c7]
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Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng:
Genetic-fuzzy knowledge-integration strategies. ICTAI 1998: 250-255
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Ching-Hung Wang, Ming-Bao Chang, Tzung-Pei Hong, Shian-Shyong Tseng:
Integrating multiple rule sets by genetic algorithms. SMC 1998: 1524-1529
1997
[j10]
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Rong-Huei Hou, Tzung-Pei Hong, Shian-Shyong Tseng, Sy-Yen Kuo:
A New Probabilistic Induction Method. J. Autom. Reason. 18(1): 5-24 (1997)
[j9]
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Tzung-Pei Hong, Shian-Shyong Tseng:
A Generalized Version Space Learning Algorithm for Noisy and Uncertain Data. IEEE Trans. Knowl. Data Eng. 9(2): 336-340 (1997)
1996
[j8]
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Tzung-Pei Hong, Chai-Ying Lee:
Induction of fuzzy rules and membership functions from training examples. Fuzzy Sets Syst. 84(1): 33-47 (1996)
[j7]
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Kuo Chin Chang, Tzung-Pei Hong, Shian-Shyong Tseng:
Machine learning by imitating human learning. Minds Mach. 6(2): 203-228 (1996)
[j6]
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Tzung-Pei Hong, Jyh-Jong Lee, Shian-Shyong Tseng:
A new parallel back-propagation learning algorithm for classification. Neural Parallel Sci. Comput. 4(1): 83-96 (1996)
[c5]
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Tzung-Pei Hong, Jyh-Jong Lee:
Speed up the back-propagation learning algorithm by the broadcast communication model. ICNN 1996: 1340-1344
[c4]
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Tzung-Pei Hong, Tzung-Nan Chuang:
Fuzzy Johnson's Algorithm for Two-machine Flow Shop. IEA/AIE 1996: 201-206
1995
[j5]
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Ching-Hung Wang, Shian-Shyong Tseng, Tzung-Pei Hong:
Design of a Self-Adaptive Brain Tumor Diagnostic System. J. Inf. Sci. Eng. 11(2): 275-294 (1995)
1994
[j4]
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Tzung-Pei Hong, Shian-Shyong Tseng:
An Optimal Parallel Perceptron Learning Algorithm for a LargeTraining Set. Parallel Comput. 20(3): 347-352 (1994)
[j3]
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Tzung-Pei Hong, Shian-Shyong Tseng:
Learning Concepts in Parallel Based upon the Strategy of Version Space. IEEE Trans. Knowl. Data Eng. 6(6): 857-867 (1994)
1992
[j2]
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Tzung-Pei Hong, Shian-Shyong Tseng:
A probabilistic perceptron learning algorithm. J. Exp. Theor. Artif. Intell. 4(4): 265-279 (1992)
[j1]
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Tzung-Pei Hong, Shian-Shyong Tseng:
Parallel perceptron learning on a single-channel broadcast communication model. Parallel Comput. 18(2): 133-148 (1992)
[c3]
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Tzung-Pei Hong, Shian-Shyong Tseng:
Comparison of ID3 and Its Generalized Version. ICCI 1992: 241-244
1991
[c2]
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Tzung-Pei Hong, Shian-Shyong Tseng:
Models of parallel learning systems. ICDCS 1991: 125-132
[c1]
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Tzung-Pei Hong, Shian-Shyong Tseng:
A Parallel Perceptron Learning Algorithm. ICPP (3) 1991: 288-289

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