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ORCIDPhilippe Fournier-Viger
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- affiliation: Harbin Institute of Technology, School of Natural Sciences and Humanities, Shenzhen, China
- affiliation: University of Quebec in Montreal, Department of Computer Sciences, QC, Canada
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2020 – today
- 2025
[j191]M. Saqib Nawaz, Muhammad Zohaib Nawaz, Yongshun Gong, Philippe Fournier-Viger, Abdoulaye Baniré Diallo:
In silico framework for genome analysis. Future Gener. Comput. Syst. 164: 107585 (2025)- 2024
- [j190]Chanhee Lee, Hanju Kim, Myungha Cho
, Hyeonmo Kim, Bay Vo, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Unil Yun:
Incremental Top-k High Utility Pattern Mining and Analyzing Over the Entire Accumulated Dynamic Database. IEEE Access 12: 77605-77620 (2024) - [j189]Hai V. Duong, Huy Pham, Tin C. Truong, Philippe Fournier-Viger:
Efficient algorithms to mine concise representations of frequent high utility occupancy patterns. Appl. Intell. 54(5): 4012-4042 (2024) - [j188]Oualid Ouarem, Farid Nouioua, Philippe Fournier-Viger:
Discovering frequent parallel episodes in complex event sequences by counting distinct occurrences. Appl. Intell. 54(11-12): 701-721 (2024) - [j187]Yee Ling Boo, Manik Gupta, Weijia Zhang, Philippe Fournier-Viger:
Special Issue Editorial on "The Innovative Use of Data Science to Transform How We Work and Live". Data Sci. Eng. 9(1): 3-4 (2024) - [j186]Jia-Qi Chen, Yu-Lin He, Yingchao Cheng, Philippe Fournier-Viger, Joshua Zhexue Huang:
A multiple kernel-based kernel density estimator for multimodal probability density functions. Eng. Appl. Artif. Intell. 132: 107979 (2024) - [j185]Yu-Lin He, Philippe Fournier-Viger, Sebastian Ventura, Ling Zhang:
Introduction to the special issue on recent advances on digital economy-oriented artificial intelligence. Eng. Appl. Artif. Intell. 137: 109087 (2024) - [j184]Cheng He, Xinyang Chen, Guoting Chen, Wensheng Gan, Philippe Fournier-Viger:
Mining credible attribute rules in dynamic attributed graphs. Expert Syst. Appl. 246: 123012 (2024) - [j183]Yulin He, Jiaqi Chen, Jiaxing Shen, Philippe Fournier-Viger, Joshua Zhexue Huang:
Density estimation-based method to determine sample size for random sample partition of big data. Frontiers Comput. Sci. 18(5) (2024) - [j182]Kaixia Hu, Wensheng Gan, Shan Huang, Hao Peng, Philippe Fournier-Viger:
Targeted mining of contiguous sequential patterns. Inf. Sci. 653: 119791 (2024) - [j181]Wei Song, Zhen Sun, Philippe Fournier-Viger, Youxi Wu:
MRI-CE: Minimal rare itemset discovery using the cross-entropy method. Inf. Sci. 665: 120392 (2024) - [j180]Zhaoming Chen, Cheng He, Guoting Chen, Wensheng Gan, Philippe Fournier-Viger:
HUSM: High utility subgraph mining in single graph databases. Inf. Sci. 675: 120743 (2024) - [j179]Antonio Manuel Trasierras, José María Luna, Philippe Fournier-Viger, Sebastián Ventura:
Data heterogeneity's impact on the performance of frequent itemset mining algorithms. Inf. Sci. 678: 120981 (2024) - [j178]Yihe Yan, Xinzheng Niu, Zhiheng Zhang, Philippe Fournier-Viger, Libin Ye, Fan Min:
Efficient high utility itemset mining without the join operation. Inf. Sci. 681: 121218 (2024) - [j177]Yulin He, Xuan Lu, Philippe Fournier-Viger, Joshua Zhexue Huang:
A novel overlapping minimization SMOTE algorithm for imbalanced classification. Frontiers Inf. Technol. Electron. Eng. 25(9): 1266-1281 (2024) - [j176]Hai Van Duong, Tin Chi Truong, Bac Le, Philippe Fournier-Viger:
CG-FHAUI: an efficient algorithm for simultaneously mining succinct pattern sets of frequent high average utility itemsets. Knowl. Inf. Syst. 66(9): 5239-5280 (2024) - [j175]Yoonji Baek, Hanju Kim, Myungha Cho, Hyeonmo Kim, Chanhee Lee, Taewoong Ryu, Heonho Kim, Bay Vo, Vincent W. Gan, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Witold Pedrycz, Unil Yun:
An efficient approach for incremental erasable utility pattern mining from non-binary data. Knowl. Inf. Syst. 66(10): 5919-5958 (2024) - [j174]Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger:
Mining Interesting Sequential Patterns using a Novel Balanced Utility Measure. Knowl. Based Syst. 294: 111796 (2024) - [j173]Xiaojun Chen, Ting Liu, Philippe Fournier-Viger, Bowen Zhang, Guodong Long, Qin Zhang:
A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models. Knowl. Based Syst. 299: 111968 (2024) - [j172]Jiahui Zhu, Xinzheng Niu, Fan Li, Yixuan Wang, Philippe Fournier-Viger, Kun She:
STTraj2Vec: A spatio-temporal trajectory representation learning approach. Knowl. Based Syst. 300: 112207 (2024) - [j171]Yu-Lin He, Jia-Yin Yu, Xu Li, Philippe Fournier-Viger, Joshua Zhexue Huang:
A novel and efficient risk minimisation-based missing value imputation algorithm. Knowl. Based Syst. 304: 112435 (2024) - [j170]Youxi Wu, Yufei Meng, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu:
COPP-Miner: Top-k Contrast Order-Preserving Pattern Mining for Time Series Classification. IEEE Trans. Knowl. Data Eng. 36(6): 2372-2387 (2024) - [j169]Meng Geng, Youxi Wu, Yan Li, Jing Liu, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu:
RNP-Miner: Repetitive Nonoverlapping Sequential Pattern Mining. IEEE Trans. Knowl. Data Eng. 36(9): 4874-4889 (2024) - [j168]Oualid Ouarem, Farid Nouioua, Philippe Fournier-Viger:
A survey of episode mining. WIREs Data. Mining. Knowl. Discov. 14(2) (2024) - [c190]Di Zhao, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, Philippe Fournier-Viger:
Symmetric Self-Paced Learning for Domain Generalization. AAAI 2024: 16961-16969 - [e8]Diana Benavides-Prado, Sarah M. Erfani, Philippe Fournier-Viger, Yee Ling Boo, Yun Sing Koh:
Data Science and Machine Learning - 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023, Proceedings. Communications in Computer and Information Science 1943, Springer 2024, ISBN 978-981-99-8695-8 [contents] - [i21]Tai Dinh, Wong Hauchi, Philippe Fournier-Viger, Daniil Lisik, Minh-Quyet Ha, Hieu-Chi Dam, Van-Nam Huynh:
Categorical data clustering: 25 years beyond K-modes. CoRR abs/2408.17244 (2024) - 2023
- [j167]Hanane Amirat, Nasreddine Lagraa, Philippe Fournier-Viger, Youcef Ouinten, Mohammed Lamine Kherfi, Younes Guellouma:
Incremental tree-based successive POI recommendation in location-based social networks. Appl. Intell. 53(7): 7562-7598 (2023) - [j166]Usman Ahmed, Jerry Chun-Wei Lin, Philippe Fournier-Viger:
Federated deep active learning for attention-based transaction classification. Appl. Intell. 53(8): 8631-8643 (2023) - [j165]Mira Lefkir, Farid Nouioua, Philippe Fournier-Viger:
Hiding sensitive frequent itemsets by item removal via two-level multi-objective optimization. Appl. Intell. 53(9): 10027-10052 (2023) - [j164]M. Saqib Nawaz, Philippe Fournier-Viger, Memoona Aslam, Wenjin Li, Yulin He, Xinzheng Niu:
Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis. Appl. Intell. 53(19): 21920-21943 (2023) - [j163]Yulin He, Xu Li, Philippe Fournier-Viger, Joshua Zhexue Huang, Mianjie Li, Salman Salloum:
Observation points classifier ensemble for high-dimensional imbalanced classification. CAAI Trans. Intell. Technol. 8(2): 500-517 (2023) - [j162]Yulin He, Xu Li, Manjing Zhang, Philippe Fournier-Viger, Joshua Zhexue Huang, Salman Salloum:
A novel observation points-based positive-unlabeled learning algorithm. CAAI Trans. Intell. Technol. 8(4): 1425-1443 (2023) - [j161]M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He, Qin Zhang:
PSAC-PDB: Analysis and classification of protein structures. Comput. Biol. Medicine 158: 106814 (2023) - [j160]Shan Huang, Wensheng Gan, Jinbao Miao, Xuming Han, Philippe Fournier-Viger:
Targeted mining of top-k high utility itemsets. Eng. Appl. Artif. Intell. 126(Part D): 107047 (2023) - [j159]José María Luna, Rage Uday Kiran, Philippe Fournier-Viger, Sebastián Ventura:
Efficient mining of top-k high utility itemsets through genetic algorithms. Inf. Sci. 624: 529-553 (2023) - [j158]Xuan Ye, Yulin He, Manjing Zhang, Philippe Fournier-Viger, Joshua Zhexue Huang:
A novel correlation Gaussian process regression-based extreme learning machine. Knowl. Inf. Syst. 65(5): 2017-2042 (2023) - [j157]Guangning Xu, Di Xian, Philippe Fournier-Viger, Xutao Li, Yunming Ye, Xiuqing Hu:
Correction to: AM-ConvGRU: a spatio-temporal model for typhoon path prediction. Neural Comput. Appl. 35(16): 12235 (2023) - [j156]Yulin He, Xuan Ye, De-Fa Huang, Philippe Fournier-Viger, Joshua Zhexue Huang:
A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets. IEEE Trans. Artif. Intell. 4(1): 182-196 (2023) - [j155]Jun-Feng Qu, Philippe Fournier-Viger, Mengchi Liu, Bo Hang, Chunyang Hu:
Mining High Utility Itemsets Using Prefix Trees and Utility Vectors. IEEE Trans. Knowl. Data Eng. 35(10): 10224-10236 (2023) - [j154]Youxi Wu, Xiaoqian Zhao, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu:
OPR-Miner: Order-Preserving Rule Mining for Time Series. IEEE Trans. Knowl. Data Eng. 35(11): 11722-11735 (2023) - [j153]Yulin He, Xuan Ye, Laizhong Cui, Philippe Fournier-Viger, Chengwen Luo, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan:
Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network. IEEE Trans. Netw. Sci. Eng. 10(3): 1283-1296 (2023) - [c189]Rodrigue Govan, Nazha Selmaoui-Folcher, Aristotelis Giannakos, Philippe Fournier-Viger:
Extraction de co-localisations sous contrainte de la structure spatiale. CNIA 2023 - [c188]Rodrigue Govan, Nazha Selmaoui-Folcher, Aristotelis Giannakos, Philippe Fournier-Viger:
Co-location Pattern Mining Under the Spatial Structure Constraint. DEXA (1) 2023: 186-193 - [c187]Pamalla Veena, Palla Likhitha, R. Uday Kiran, José María Luna, Philippe Fournier-Viger, Koji Zettsu:
Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series. FUZZ 2023: 1-7 - [c186]Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger:
Multi-modal Chinese Fake News Detection. ICDM (Workshops) 2023: 109-117 - [c185]Xu Zhang, Xinzheng Niu, Philippe Fournier-Viger, Xudong Dai:
Image-text Retrieval via Preserving Main Semantics of Vision. ICME 2023: 1967-1972 - [c184]Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan:
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. IJCAI 2023: 4576-4583 - [c183]Mira Lefkir, Farid Nouioua, Philippe Fournier-Viger:
Heuristic approaches for hiding sensitive frequent itemsets in uncertain databases. PAIS 2023: 1-8 - [c182]Zhi Cheng, Landy Andriamampianina, Franck Ravat, Jiefu Song, Nathalie Vallès-Parlangeau, Philippe Fournier-Viger, Nazha Selmaoui-Folcher:
Mining Frequent Sequential Subgraph Evolutions in Dynamic Attributed Graphs. PAKDD (2) 2023: 66-78 - [e7]Philippe Fournier-Viger, Ahmed Hassan Yousef, Ladjel Bellatreche:
Model and Data Engineering: 11th International Conference, MEDI 2022, Cairo, Egypt, November 21-24, 2022, Proceedings. Lecture Notes in Computer Science 13761, Springer 2023, ISBN 978-3-031-21595-7 [contents] - [i20]Tai Dinh, Philippe Fournier-Viger, Huynh Van Hong:
Mining compact high utility sequential patterns. CoRR abs/2302.11426 (2023) - [i19]Shan Huang, Wensheng Gan, Jinbao Miao, Xuming Han, Philippe Fournier-Viger:
Targeted Mining of Top-k High Utility Itemsets. CoRR abs/2303.14510 (2023) - [i18]Xu Zhang, Xinzheng Niu, Philippe Fournier-Viger, Xudong Dai:
Image-text Retrieval via Preserving Main Semantics of Vision. CoRR abs/2304.10254 (2023) - [i17]Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan:
G2xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. CoRR abs/2308.05463 (2023) - [i16]Youxi Wu, Yufei Meng, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu:
Top-k contrast order-preserving pattern mining for time series classification. CoRR abs/2310.02612 (2023) - [i15]Meng Geng, Youxi Wu, Yan Li, Jing Liu, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu:
Repetitive nonoverlapping sequential pattern mining. CoRR abs/2311.09667 (2023) - 2022
- [j152]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun:
Frequent high minimum average utility sequence mining with constraints in dynamic databases using efficient pruning strategies. Appl. Intell. 52(6): 6106-6128 (2022) - [j151]Yuehua Wang, Youxi Wu, Yan Li, Fang Yao, Philippe Fournier-Viger, Xindong Wu:
Self-adaptive nonoverlapping sequential pattern mining. Appl. Intell. 52(6): 6646-6661 (2022) - [j150]Philippe Fournier-Viger, Ying Wang, Peng Yang, Jerry Chun-Wei Lin, Unil Yun, Rage Uday Kiran:
TSPIN: mining top-k stable periodic patterns. Appl. Intell. 52(6): 6917-6938 (2022) - [j149]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun:
Mining interesting sequences with low average cost and high average utility. Appl. Intell. 52(7): 7136-7157 (2022) - [j148]Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, Philippe Fournier-Viger:
Efficient evolutionary computation model of closed high-utility itemset mining. Appl. Intell. 52(9): 10604-10616 (2022) - [j147]Wei Song, Wei Ye, Philippe Fournier-Viger:
Mining sequential patterns with flexible constraints from MOOC data. Appl. Intell. 52(14): 16458-16474 (2022) - [j146]Hamido Fujita, Philippe Fournier-Viger, Moonis Ali:
Editorial of special issue on emerging topics in applied intelligence. Appl. Intell. 52(15): 16991-16992 (2022) - [j145]Xinzheng Niu, Yunhong Zheng, Philippe Fournier-Viger, Bing Wang:
Parallel grid-based density peak clustering of big trajectory data. Appl. Intell. 52(15): 17042-17057 (2022) - [j144]M. Saqib Nawaz, Philippe Fournier-Viger, Muhammad Zohaib Nawaz, Guoting Chen, Youxi Wu:
MalSPM: Metamorphic malware behavior analysis and classification using sequential pattern mining. Comput. Secur. 118: 102741 (2022) - [j143]Yu-Lin He, Guiliang Ou, Philippe Fournier-Viger, Joshua Zhexue Huang, Ponnuthurai Nagaratnam Suganthan:
A novel dependency-oriented mixed-attribute data classification method. Expert Syst. Appl. 199: 116782 (2022) - [j142]Huy Minh Huynh, Loan T. T. Nguyen, Bay Vo, Zuzana Komínková Oplatková, Philippe Fournier-Viger, Unil Yun:
An efficient parallel algorithm for mining weighted clickstream patterns. Inf. Sci. 582: 349-368 (2022) - [j141]N. T. Tung, Loan T. T. Nguyen, Trinh D. D. Nguyen, Philippe Fournier-Viger, Ngoc Thanh Nguyen, Bay Vo:
Efficient mining of cross-level high-utility itemsets in taxonomy quantitative databases. Inf. Sci. 587: 41-62 (2022) - [j140]Youxi Wu, Zhu Yuan, Yan Li, Lei Guo, Philippe Fournier-Viger, Xindong Wu:
NWP-Miner: Nonoverlapping weak-gap sequential pattern mining. Inf. Sci. 588: 124-141 (2022) - [j139]Shimin Wang, Xinzheng Niu, Philippe Fournier-Viger, Dongmei Zhou, Fan Min:
A graph based approach for mining significant places in trajectory data. Inf. Sci. 609: 172-194 (2022) - [j138]Jiahong Liu, Philippe Fournier-Viger, Min Zhou, Ganghuan He, Mourad Nouioua:
CSPM: Discovering compressing stars in attributed graphs. Inf. Sci. 611: 126-158 (2022) - [j137]Bac Le, Tin C. Truong, Hai V. Duong, Philippe Fournier-Viger, Hamido Fujita:
H-FHAUI: Hiding frequent high average utility itemsets. Inf. Sci. 611: 408-431 (2022) - [j136]Xiaojie Zhang, Yanlin Qi, Guoting Chen, Wensheng Gan, Philippe Fournier-Viger:
Fuzzy-driven periodic frequent pattern mining. Inf. Sci. 618: 253-269 (2022) - [j135]Ham Nguyen, Tuong Le, Minh Nguyen, Philippe Fournier-Viger, Vincent S. Tseng, Bay Vo:
Mining frequent weighted utility itemsets in hierarchical quantitative databases. Knowl. Based Syst. 237: 107709 (2022) - [j134]Peng Wu, Xinzheng Niu, Philippe Fournier-Viger, Cheng Huang, Bing Wang:
UBP-Miner: An efficient bit based high utility itemset mining algorithm. Knowl. Based Syst. 248: 108865 (2022) - [j133]Hai V. Duong, Ngan T. H. Le, Thong Tran, Tin C. Truong, Bac Le, Philippe Fournier-Viger:
Efficient algorithms for mining closed and maximal high utility itemsets. Knowl. Based Syst. 257: 109921 (2022) - [j132]Guangning Xu, Di Xian, Philippe Fournier-Viger, Xutao Li, Yunming Ye, Xiuqing Hu:
AM-ConvGRU: a spatio-temporal model for typhoon path prediction. Neural Comput. Appl. 34(8): 5905-5921 (2022) - [j131]Yulin He, Xuan Ye, Joshua Zhexue Huang, Philippe Fournier-Viger:
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression. ACM Trans. Intell. Syst. Technol. 13(2): 30:1-30:26 (2022) - [j130]Youxi Wu, Lanfang Luo, Yan Li, Lei Guo, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu:
NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining. ACM Trans. Knowl. Discov. Data 16(3): 51:1-51:21 (2022) - [j129]M. Saqib Nawaz, Philippe Fournier-Viger, Unil Yun, Youxi Wu, Wei Song:
Mining High Utility Itemsets with Hill Climbing and Simulated Annealing. ACM Trans. Manag. Inf. Syst. 13(1): 4:1-4:22 (2022) - [c181]M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He:
S-PDB: Analysis and Classification of SARS-CoV-2 Spike Protein Structures. BIBM 2022: 2259-2265 - [c180]Philippe Fournier-Viger, Yuechun Li, M. Saqib Nawaz, Yulin He:
FastTIRP: Efficient Discovery of Time-Interval Related Patterns. BDA 2022: 185-199 - [c179]Khaled Belghith, Philippe Fournier-Viger, Jassem Jawadi:
Hui2Vec: Learning Transaction Embedding Through High Utility Itemsets. BDA 2022: 211-224 - [c178]Philippe Fournier-Viger, Wensheng Gan, Youxi Wu, Mourad Nouioua, Wei Song, Tin C. Truong, Hai Van Duong:
Pattern Mining: Current Challenges and Opportunities. DASFAA (Workshops) 2022: 34-49 - [c177]Zhaowen Yin, Wensheng Gan, Gengsen Huang, Yongdong Wu, Philippe Fournier-Viger:
Constraint-based Sequential Rule Mining. DSAA 2022: 1-10 - [c176]Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua:
Discovering Representative Attribute-stars via Minimum Description Length. ICDE 2022: 68-80 - [c175]Naji Alhusaini, Jing Li, Philippe Fournier-Viger, Ammar Hawbani, Guilin Chen:
Mining High Utility Itemset with Multiple Minimum Utility Thresholds Based on Utility Deviation. ICDM (Workshops) 2022: 490-496 - [c174]Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang:
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. ICDM 2022: 703-712 - [c173]Palla Likhitha, Rage Veena, Rage Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger:
UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases. ICONIP (5) 2022: 182-194 - [c172]Xueqin Du, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang:
DenMG: Density-Based Member Generation for Ensemble Clustering. ICPP Workshops 2022: 24:1-24:7 - [c171]Xu Zhang, Xinzheng Niu, Philippe Fournier-Viger, Bing Wang:
Two-Stage Traffic Clustering Based on HNSW. IEA/AIE 2022: 609-620 - [c170]Gaojuan Fan, Huaiyuan Xiao, Chongsheng Zhang, George Almpanidis, Philippe Fournier-Viger, Hamido Fujita:
Parallel High Utility Itemset Mining. IEA/AIE 2022: 819-830 - [c169]Guiliang Ou, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang:
Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier. IJCNN 2022: 1-8 - [c168]Di Zhao, Yun Sing Koh, Philippe Fournier-Viger:
Measuring Drift Severity by Tree Structure Classifiers. IJCNN 2022: 1-8 - [c167]M. Saqib Nawaz, Philippe Fournier-Viger, Naji Alhusaini, Yulin He, Youxi Wu, Debdatta Bhattacharya:
LCIM: Mining Low Cost High Utility Itemsets. MIWAI 2022: 73-85 - [c166]Philippe Fournier-Viger, M. Saqib Nawaz, Yulin He, Youxi Wu, Farid Nouioua, Unil Yun:
MaxFEM: Mining Maximal Frequent Episodes in Complex Event Sequences. MIWAI 2022: 86-98 - [c165]M. Saqib Nawaz, Muhammad Zohaib Nawaz, Osman Hasan, Philippe Fournier-Viger:
Metaheuristic Algorithms for Proof Searching in HOL4. SEKE 2022: 376-381 - [c164]M. Saqib Nawaz, Saleha Noor, Philippe Fournier-Viger:
Reasoning About Order Crossover in Genetic Algorithms. ICSI (1) 2022: 261-271 - [e6]Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Yinglin Wang:
Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Kitakyushu, Japan, July 19-22, 2022, Proceedings. Lecture Notes in Computer Science 13343, Springer 2022, ISBN 978-3-031-08529-1 [contents] - [e5]Philippe Fournier-Viger, Ahmed Hassan Yousef, Ladjel Bellatreche, Ahmed Awad, Abderrahim Ait Wakrime, Yassine Ouhammou, Idir Aït-Sadoune:
Advances in Model and Data Engineering in the Digitalization Era - MEDI 2022 Short Papers and DETECT 2022 Workshop Papers, Cairo, Egypt, November 21-24, 2022, Proceedings. Communications in Computer and Information Science 1751, Springer 2022, ISBN 978-3-031-23118-6 [contents] - [i14]Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger:
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning. CoRR abs/2201.08554 (2022) - [i13]Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu:
Towards Revenue Maximization with Popular and Profitable Products. CoRR abs/2202.13041 (2022) - [i12]Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua:
Discovering Representative Attribute-stars via Minimum Description Length. CoRR abs/2204.12704 (2022) - [i11]Jinbao Miao, Wensheng Gan, Shicheng Wan, Yongdong Wu, Philippe Fournier-Viger:
Towards Target High-Utility Itemsets. CoRR abs/2206.06157 (2022) - [i10]Youxi Wu, Xiaoqian Zhao, Yan Li, Lei Guo, Xingquan Zhu, Philippe Fournier-Viger, Xindong Wu:
OPR-Miner: Order-preserving rule mining for time series. CoRR abs/2209.08932 (2022) - 2021
- [j128]Jerry Chun-Wei Lin, Philippe Fournier-Viger, Vincent S. Tseng, Philip S. Yu:
IEEE Access Special Section Editorial: Utility-Pattern Mining: Theoretical Analytics and Applications. IEEE Access 9: 16604-16607 (2021) - [j127]Hamido Fujita, Philippe Fournier-Viger, Jun Sasaki, Moonis Ali:
Advances in Theory and Applications of Artificial Intelligence. AI Mag. 42(1): 86-87 (2021) - [j126]M. Saqib Nawaz, Muhammad Zohaib Nawaz, Osman Hasan, Philippe Fournier-Viger, Meng Sun:
Proof searching and prediction in HOL4 with evolutionary/heuristic and deep learning techniques. Appl. Intell. 51(3): 1580-1601 (2021) - [j125]Xiangyu Liu, Xinzheng Niu, Philippe Fournier-Viger:
Fast Top-K association rule mining using rule generation property pruning. Appl. Intell. 51(4): 2077-2093 (2021) - [j124]M. Saqib Nawaz, Philippe Fournier-Viger, Abbas Shojaee, Hamido Fujita:
Using artificial intelligence techniques for COVID-19 genome analysis. Appl. Intell. 51(5): 3086-3103 (2021) - [j123]Mourad Nouioua, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, Wensheng Gan:
FHUQI-Miner: Fast high utility quantitative itemset mining. Appl. Intell. 51(10): 6785-6809 (2021) - [j122]M. Saqib Nawaz, Muhammad Zohaib Nawaz, Osman Hasan, Philippe Fournier-Viger, Meng Sun:
An evolutionary/heuristic-based proof searching framework for interactive theorem prover. Appl. Soft Comput. 104: 107200 (2021) - [j121]Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, Unil Yun, Philippe Fournier-Viger:
A predictive GA-based model for closed high-utility itemset mining. Appl. Soft Comput. 108: 107422 (2021) - [j120]Mustapha Bouakkaz, Youcef Ouinten, Sabine Loudcher, Philippe Fournier-Viger:
Enhancing link prediction in dynamic networks using content aggregation. Clust. Comput. 24(4): 3055-3063 (2021) - [j119]Jimmy Ming-Tai Wu, Gautam Srivastava, Alireza Jolfaei, Philippe Fournier-Viger, Jerry Chun-Wei Lin:
Hiding sensitive information in eHealth datasets. Future Gener. Comput. Syst. 117: 169-180 (2021) - [j118]Jaroslav Frnda, Michal Pavlicko, Marek Durica, Lukas Sevcik, Miroslav Voznák, Philippe Fournier-Viger, Jerry Chun-Wei Lin:
A new perceptual evaluation method of video quality based on neural network. Intell. Data Anal. 25(3): 571-587 (2021) - [j117]Jongseong Kim, Unil Yun, Hyunsoo Kim, Taewoong Ryu, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Witold Pedrycz:
Average utility driven data analytics on damped windows for intelligent systems with data streams. Int. J. Intell. Syst. 36(10): 5741-5769 (2021) - [j116]Philippe Fournier-Viger, Peng Yang, Rage Uday Kiran, Sebastián Ventura, José María Luna:
Mining local periodic patterns in a discrete sequence. Inf. Sci. 544: 519-548 (2021) - [j115]Lior Shabtay, Philippe Fournier-Viger, Rami Yaari, Itai Dattner:
A guided FP-Growth algorithm for mining multitude-targeted item-sets and class association rules in imbalanced data. Inf. Sci. 553: 353-375 (2021) - [j114]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun, Hamido Fujita:
Efficient algorithms for mining frequent high utility sequences with constraints. Inf. Sci. 568: 239-264 (2021) - [j113]Heonho Kim, Unil Yun, Yoonji Baek, Hyunsoo Kim, Hyoju Nam, Jerry Chun-Wei Lin, Philippe Fournier-Viger:
Damped sliding based utility oriented pattern mining over stream data. Knowl. Based Syst. 213: 106653 (2021) - [j112]Youxi Wu, Meng Geng, Yan Li, Lei Guo, Zhao Li, Philippe Fournier-Viger, Xingquan Zhu, Xindong Wu:
HANP-Miner: High average utility nonoverlapping sequential pattern mining. Knowl. Based Syst. 229: 107361 (2021) - [j111]Saleha Noor, Yi Guo, Syed Hamad Hassan Shah, Philippe Fournier-Viger, M. Saqib Nawaz:
Analysis of public reactions to the novel Coronavirus (COVID-19) outbreak on Twitter. Kybernetes 50(5): 1633-1653 (2021) - [j110]Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Fast Utility Mining on Sequence Data. IEEE Trans. Cybern. 51(2): 487-500 (2021) - [j109]Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu:
Towards Revenue Maximization with Popular and Profitable Products. Trans. Data Sci. 2(4): 42:1-42:21 (2021) - [j108]Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Hongzhi Yin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Utility Mining Across Multi-Dimensional Sequences. ACM Trans. Knowl. Discov. Data 15(5): 82:1-82:24 (2021) - [j107]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, Philip S. Yu:
A Survey of Utility-Oriented Pattern Mining. IEEE Trans. Knowl. Data Eng. 33(4): 1306-1327 (2021) - [j106]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Beyond Frequency: Utility Mining with Varied Item-specific Minimum Utility. ACM Trans. Internet Techn. 21(1): 3:1-3:32 (2021) - [c163]Philippe Fournier-Viger, Yangming Chen, Farid Nouioua, Jerry Chun-Wei Lin:
Mining Partially-Ordered Episode Rules in an Event Sequence. ACIIDS 2021: 3-15 - [c162]M. Saqib Nawaz, Philippe Fournier-Viger, Wei Song, Jerry Chun-Wei Lin, Bernd Noack:
Investigating Crossover Operators in Genetic Algorithms for High-Utility Itemset Mining. ACIIDS 2021: 16-28 - [c161]Mourad Nouioua, Philippe Fournier-Viger, Wensheng Gan, Youxi Wu, Jerry Chun-Wei Lin, Farid Nouioua:
TKQ: Top-K Quantitative High Utility Itemset Mining. ADMA 2021: 16-28 - [c160]R. Uday Kiran, Pradeep Pallikila, José María Luna, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy:
Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure. IEEE BigData 2021: 252-262 - [c159]Yangming Chen, Philippe Fournier-Viger, Farid Nouioua, Youxi Wu:
Mining Partially-Ordered Episode Rules with the Head Support. DaWaK 2021: 266-271 - [c158]Md. Motaher Hossain, Youxi Wu, Philippe Fournier-Viger, Zhao Li, Lei Guo, Yan Li:
HSNP-Miner: High Utility Self-Adaptive Nonoverlapping Pattern Mining. ICBK 2021: 70-77 - [c157]Oualid Ouarem, Farid Nouioua, Philippe Fournier-Viger:
Mining Episode Rules from Event Sequences Under Non-overlapping Frequency. IEA/AIE (1) 2021: 73-85 - [c156]M. Saqib Nawaz, Philippe Fournier-Viger, Xinzheng Niu, Youxi Wu, Jerry Chun-Wei Lin:
COVID-19 Genome Analysis Using Alignment-Free Methods. IEA/AIE (1) 2021: 316-328 - [c155]Dongzi Chen, Xinzheng Niu, Philippe Fournier-Viger, Wenxin Wu, Bing Wang:
Map-Matching Based on HMM for Urban Traffic. IEA/AIE (2) 2021: 462-473 - [c154]Usman Ahmed, Jerry Chun-Wei Lin, Gautam Srivastava, Philippe Fournier-Viger:
A Transaction Classification Model of Federated Learning. IEA/AIE (1) 2021: 509-518 - [c153]Acquah Hackman, Yu Huang, Philippe Fournier-Viger, Vincent S. Tseng:
Stable High Utility Itemset Mining. iiWAS 2021: 296-302 - [c152]Yangming Chen, Philippe Fournier-Viger, Farid Nouioua, Youxi Wu:
Sequence Prediction using Partially-Ordered Episode Rules. ICDM (Workshops) 2021: 574-580 - [c151]Mourad Nouioua, Philippe Fournier-Viger, Jun-Feng Qu, Jerry Chun-Wei Lin, Wensheng Gan, Wei Song:
CHUQI-Miner: Mining Correlated Quantitative High Utility Itemsets. ICDM (Workshops) 2021: 599-606 - [c150]Usman Ahmed, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Chien-Fu Cheng:
Privacy-Preserving Periodic Frequent Pattern Model in AIoT Applications. ISPACS 2021: 1-2 - [c149]Hanh-Thong Huynh, Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger:
Mining High Utility Sequences with a Novel Utility Function. KSE 2021: 1-6 - [c148]M. Saqib Nawaz, Philippe Fournier-Viger, Muhammad Zohaib Nawaz, Guoting Chen, Youxi Wu:
Metamorphic Malware Behavior Analysis Using Sequential Pattern Mining. PKDD/ECML Workshops (2) 2021: 90-103 - [c147]Philippe Fournier-Viger, M. Saqib Nawaz, Wei Song, Wensheng Gan:
Machine Learning for Intelligent Industrial Design. PKDD/ECML Workshops (2) 2021: 158-172 - [c146]Wei Song, Chuanlong Zheng, Philippe Fournier-Viger:
Mining Skyline Frequent-Utility Itemsets with Utility Filtering. PRICAI (1) 2021: 411-424 - [c145]M. Saqib Nawaz, Meng Sun, Philippe Fournier-Viger:
Proof Searching in PVS Theorem Prover Using Simulated Annealing. ICSI (2) 2021: 253-262 - [e4]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e3]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - 2020
- [j105]Jerry Chun-Wei Lin, Yuanfa Li, Philippe Fournier-Viger, Youcef Djenouri, Ji Zhang:
Efficient Chain Structure for High-Utility Sequential Pattern Mining. IEEE Access 8: 40714-40722 (2020) - [j104]Bay Vo, Loan T. T. Nguyen, Trinh D. D. Nguyen, Philippe Fournier-Viger, Unil Yun:
A Multi-Core Approach to Efficiently Mining High-Utility Itemsets in Dynamic Profit Databases. IEEE Access 8: 85890-85899 (2020) - [j103]M. Saqib Nawaz, Philippe Fournier-Viger, Ji Zhang:
Proof Learning in PVS With Utility Pattern Mining. IEEE Access 8: 119806-119818 (2020) - [j102]José María Luna, Philippe Fournier-Viger, Sebastián Ventura:
Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records. IEEE Access 8: 134782-134799 (2020) - [j101]Xiang Li, Jiaxuan Li, Philippe Fournier-Viger, M. Saqib Nawaz, Jie Yao, Jerry Chun-Wei Lin:
Mining Productive Itemsets in Dynamic Databases. IEEE Access 8: 140122-140144 (2020) - [j100]Philippe Fournier-Viger, Peng Yang, Zhitian Li, Jerry Chun-Wei Lin, Rage Uday Kiran:
Discovering rare correlated periodic patterns in multiple sequences. Data Knowl. Eng. 126: 101733 (2020) - [j99]Khin Nandar Win, Kenli Li, Jianguo Chen, Philippe Fournier-Viger, Keqin Li:
Fingerprint classification and identification algorithms for criminal investigation: A survey. Future Gener. Comput. Syst. 110: 758-771 (2020) - [j98]Jongseong Kim, Unil Yun, Eunchul Yoon, Jerry Chun-Wei Lin, Philippe Fournier-Viger:
One scan based high average-utility pattern mining in static and dynamic databases. Future Gener. Comput. Syst. 111: 143-158 (2020) - [j97]Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Duy-Tai Dinh, Hoai Bac Le:
Mining correlated high-utility itemsets using various measures. Log. J. IGPL 28(1): 19-32 (2020) - [j96]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger:
EHAUSM: An efficient algorithm for high average utility sequence mining. Inf. Sci. 515: 302-323 (2020) - [j95]Hanane Amirat, Nasreddine Lagraa, Philippe Fournier-Viger, Youcef Ouinten:
NextRoute: a lossless model for accurate mobility prediction. J. Ambient Intell. Humaniz. Comput. 11(7): 2661-2681 (2020) - [j94]Jerry Chun-Wei Lin, Ting Li, Matin Pirouz, Ji Zhang, Philippe Fournier-Viger:
High average-utility sequential pattern mining based on uncertain databases. Knowl. Inf. Syst. 62(3): 1199-1228 (2020) - [j93]Philippe Fournier-Viger, Jiaxuan Li, Jerry Chun-Wei Lin, Tin Truong-Chi, R. Uday Kiran:
Mining cost-effective patterns in event logs. Knowl. Based Syst. 191: 105241 (2020) - [j92]Jun-Feng Qu, Philippe Fournier-Viger, Mengchi Liu, Bo Hang, Feng Wang:
Mining high utility itemsets using extended chain structure and utility machine. Knowl. Based Syst. 208: 106457 (2020) - [j91]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
HUOPM: High-Utility Occupancy Pattern Mining. IEEE Trans. Cybern. 50(3): 1195-1208 (2020) - [j90]Yoonji Baek, Unil Yun, Eunchul Yoon, Philippe Fournier-Viger:
Uncertainty-Based Pattern Mining for Maximizing Profit of Manufacturing Plants With List Structure. IEEE Trans. Ind. Electron. 67(11): 9914-9926 (2020) - [j89]Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philippe Fournier-Viger, Xuan Wang, Philip S. Yu:
Utility-Driven Mining of Trend Information for Intelligent System. ACM Trans. Manag. Inf. Syst. 11(3): 14:1-14:28 (2020) - [j88]Philippe Fournier-Viger, Ganghuan He, Chao Cheng, Jiaxuan Li, Min Zhou, Jerry Chun-Wei Lin, Unil Yun:
A survey of pattern mining in dynamic graphs. WIREs Data Mining Knowl. Discov. 10(6) (2020) - [c144]Philippe Fournier-Viger, Ganghuan He, Jerry Chun-Wei Lin, Heitor Murilo Gomes:
Mining Attribute Evolution Rules in Dynamic Attributed Graphs. DaWaK 2020: 167-182 - [c143]R. Uday Kiran, Sourabh Shrivastava, Philippe Fournier-Viger, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa:
Discovering Frequent Spatial Patterns in Very Large Spatiotemporal Databases. SIGSPATIAL/GIS 2020: 445-448 - [c142]Mourad Nouioua, Ying Wang, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu:
TKC: Mining Top-K Cross-Level High Utility Itemsets. ICDM (Workshops) 2020: 673-682 - [c141]Philippe Fournier-Viger, Ganghuan He, Min Zhou, Mourad Nouioua, Jiahong Liu:
Discovering Alarm Correlation Rules for Network Fault Management. ICSOC Workshops 2020: 228-239 - [c140]Khin Nandar Win, Jianguo Chen, Mingxing Duan, Guoqing Xiao, Kenli Li, Philippe Fournier-Viger, Keqin Li:
A Decision Support System to Provide Criminal Pattern Based Suggestions to Travelers. IEA/AIE 2020: 582-587 - [c139]Yunhong Zheng, Xinzheng Niu, Philippe Fournier-Viger, Fan Li, Lin Gao:
Distributed Density Peak Clustering of Trajectory Data on Spark. IEA/AIE 2020: 792-804 - [c138]Philippe Fournier-Viger, Yanjun Yang, Peng Yang, Jerry Chun-Wei Lin, Unil Yun:
TKE: Mining Top-K Frequent Episodes. IEA/AIE 2020: 832-845 - [c137]Philippe Fournier-Viger, Ying Wang, Jerry Chun-Wei Lin, José María Luna, Sebastián Ventura:
Mining Cross-Level High Utility Itemsets. IEA/AIE 2020: 858-871 - [c136]Jimmy Ming-Tai Wu, Qian Teng, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Chien-Fu Cheng:
Maintenance of Prelarge High Average-Utility Patterns in Incremental Databases. IEA/AIE 2020: 884-895 - [c135]Philippe Fournier-Viger, Yanjun Yang, Jerry Chun-Wei Lin, Jaroslav Frnda:
Mining Locally Trending High Utility Itemsets. PAKDD (2) 2020: 99-111 - [c134]Muhammad Zohaib Nawaz, Osman Hasan, M. Saqib Nawaz, Philippe Fournier-Viger, Meng Sun:
Proof searching in HOL4 with genetic algorithm. SAC 2020: 513-520 - [e2]Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Jun Sasaki:
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings. Lecture Notes in Computer Science 12144, Springer 2020, ISBN 978-3-030-55788-1 [contents]
2010 – 2019
- 2019
- [j87]Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Philippe Fournier-Viger, Youcef Djenouri, Chun-Hao Chen, Yuyu Zhang:
A Sanitization Approach to Secure Shared Data in an IoT Environment. IEEE Access 7: 25359-25368 (2019) - [j86]Tuong Le, Bay Vo, Philippe Fournier-Viger, Mi Young Lee, Sung Wook Baik:
SPPC: a new tree structure for mining erasable patterns in data streams. Appl. Intell. 49(2): 478-495 (2019) - [j85]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) - [j84]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger:
FMaxCloHUSM: An efficient algorithm for mining frequent closed and maximal high utility sequences. Eng. Appl. Artif. Intell. 85: 1-20 (2019) - [j83]Thu-Lan Dam, Kenli Li, Philippe Fournier-Viger, Quang-Huy Duong:
CLS-Miner: efficient and effective closed high-utility itemset mining. Frontiers Comput. Sci. 13(2): 357-381 (2019) - [j82]Youcef Djenouri, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Djamel Djenouri, Asma Belhadi:
GPU-based swarm intelligence for Association Rule Mining in big databases. Intell. Data Anal. 23(1): 57-76 (2019) - [j81]Khin Nandar Win, Jianguo Chen, Yuedan Chen, Philippe Fournier-Viger:
PCPD: A Parallel Crime Pattern Discovery System for Large-Scale Spatiotemporal Data Based on Fuzzy Clustering. Int. J. Fuzzy Syst. 21(6): 1961-1974 (2019) - [j80]Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Hamido Fujita, Yun Sing Koh:
Mining local and peak high utility itemsets. Inf. Sci. 481: 344-367 (2019) - [j79]Philippe Fournier-Viger, Zhitian Li, Jerry Chun-Wei Lin, Rage Uday Kiran, Hamido Fujita:
Efficient algorithms to identify periodic patterns in multiple sequences. Inf. Sci. 489: 205-226 (2019) - [j78]Jerry Chun-Wei Lin, Yinan Shao, Philippe Fournier-Viger, Hamido Fujita:
BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction. Inf. Sci. 496: 53-64 (2019) - [j77]Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Ahcène Bendjoudi:
Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases. Inf. Sci. 496: 326-342 (2019) - [j76]Loan T. T. Nguyen, Phuc Nguyen, Trinh D. D. Nguyen, Bay Vo, Philippe Fournier-Viger, Vincent S. Tseng:
Mining high-utility itemsets in dynamic profit databases. Knowl. Based Syst. 175: 130-144 (2019) - [j75]Philippe Fournier-Viger, Chao Cheng, Zhi Cheng, Jerry Chun-Wei Lin, Nazha Selmaoui-Folcher:
Mining significant trend sequences in dynamic attributed graphs. Knowl. Based Syst. 182 (2019) - [j74]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun:
Efficient high average-utility itemset mining using novel vertical weak upper-bounds. Knowl. Based Syst. 183 (2019) - [j73]Youcef Djenouri, Zineb Habbas, Djamel Djenouri, Philippe Fournier-Viger:
Bee swarm optimization for solving the MAXSAT problem using prior knowledge. Soft Comput. 23(9): 3095-3112 (2019) - [j72]Jerry Chun-Wei Lin, Yuyu Zhang, Binbin Zhang, Philippe Fournier-Viger, Youcef Djenouri:
Hiding sensitive itemsets with multiple objective optimization. Soft Comput. 23(23): 12779-12797 (2019) - [j71]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
A Survey of Parallel Sequential Pattern Mining. ACM Trans. Knowl. Discov. Data 13(3): 25:1-25:34 (2019) - [j70]Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger:
Efficient Vertical Mining of High Average-Utility Itemsets Based on Novel Upper-Bounds. IEEE Trans. Knowl. Data Eng. 31(2): 301-314 (2019) - [j69]José María Luna, Philippe Fournier-Viger, Sebastián Ventura:
Frequent itemset mining: A 25 years review. WIREs Data Mining Knowl. Discov. 9(6) (2019) - [c133]Philippe Fournier-Viger, Peng Yang, Jerry Chun-Wei Lin, Unil Yun:
HUE-Span: Fast High Utility Episode Mining. ADMA 2019: 169-184 - [c132]Philippe Fournier-Viger, Chao Cheng, Jerry Chun-Wei Lin, Unil Yun, R. Uday Kiran:
TKG: Efficient Mining of Top-K Frequent Subgraphs. BDA 2019: 209-226 - [c131]Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger:
An Explicit Relationship Between Sequential Patterns and Their Concise Representations. BDA 2019: 341-361 - [c130]Jerry Chun-Wei Lin, Yuanfa Li, Philippe Fournier-Viger, Youcef Djenouri, Shyue-Liang Leon Wang:
Mining High-Utility Sequential Patterns from Big Datasets. IEEE BigData 2019: 2674-2680 - [c129]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 - [c128]Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Jerry Chun-Wei Lin, Ahcène Bendjoudi, Philippe Fournier-Viger:
A Novel Parallel Framework for Metaheuristic-based Frequent Itemset Mining. CEC 2019: 1439-1445 - [c127]Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Youcef Djenouri, Philippe Fournier-Viger, Yuyu Zhang:
A Swarm-based Data Sanitization Algorithm in Privacy-Preserving Data Mining. CEC 2019: 1461-1467 - [c126]Philippe Fournier-Viger, Jiaxuan Li, Jerry Chun-Wei Lin, Tin Truong-Chi:
Discovering and Visualizing Efficient Patterns in Cost/Utility Sequences. DaWaK 2019: 73-88 - [c125]Philippe Fournier-Viger, Chao Cheng, Zhi Cheng, Jerry Chun-Wei Lin, Nazha Selmaoui-Folcher:
Finding Strongly Correlated Trends in Dynamic Attributed Graphs. DaWaK 2019: 250-265 - [c124]Rafael Ktistakis, Philippe Fournier-Viger, Simon J. Puglisi, Rajeev Raman:
Succinct BWT-Based Sequence Prediction. DEXA (2) 2019: 91-101 - [c123]M. Saqib Nawaz, Meng Sun, Philippe Fournier-Viger:
Proof Guidance in PVS with Sequential Pattern Mining. FSEN 2019: 45-60 - [c122]Khin Nandar Win, Jianguo Chen, Guoqing Xiao, Yuedan Chen, Philippe Fournier-Viger:
A Parallel Crime Activity Clustering Algorithm Based on Apache Spark Cloud Computing Platform. HPCC/SmartCity/DSS 2019: 68-74 - [c121]Jerry Chun-Wei Lin, Yuanfa Li, Philippe Fournier-Viger, Youcef Djenouri, Ji Zhang:
An Efficient Chain Structure to Mine High-Utility Sequential Patterns. ICDM Workshops 2019: 1013-1019 - [c120]C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, P. Krishna Reddy:
Discovering Periodic Patterns in Irregular Time Series. ICDM Workshops 2019: 1020-1028 - [c119]Heitor Murilo Gomes, Albert Bifet, Philippe Fournier-Viger, Jones Granatyr, Jesse Read:
Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles. ICONIP (1) 2019: 704-716 - [c118]Philippe Fournier-Viger, Peng Yang, Jerry Chun-Wei Lin, Rage Uday Kiran:
Discovering Stable Periodic-Frequent Patterns in Transactional Data. IEA/AIE 2019: 230-244 - [c117]R. Uday Kiran, T. Yashwanth Reddy, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility. PAKDD (2) 2019: 191-203 - [c116]Feiyang Tang, David Tse Jung Huang, Yun Sing Koh, Philippe Fournier-Viger:
Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams. PRICAI (2) 2019: 419-430 - [c115]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 - [c114]R. Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Spatial High Utility Itemsets in Spatiotemporal Databases. SSDBM 2019: 49-60 - [c113]Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Philippe Fournier-Viger, Chun-Hao Chen, Ting Li:
A Project-based PMiner Algorithm in Uncertain Databases. TAAI 2019: 1-5 - [e1]Sanjay Madria, Philippe Fournier-Viger, Sanjay Chaudhary, P. Krishna Reddy:
Big Data Analytics - 7th International Conference, BDA 2019, Ahmedabad, India, December 17-20, 2019, Proceedings. Lecture Notes in Computer Science 11932, Springer 2019, ISBN 978-3-030-37187-6 [contents] - [i9]Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Hongzhi Yin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Utility Mining Across Multi-Dimensional Sequences. CoRR abs/1902.09582 (2019) - [i8]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Beyond Frequency: Utility Mining with Varied Item-Specific Minimum Utility. CoRR abs/1902.09584 (2019) - [i7]Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
Fast Utility Mining on Complex Sequences. CoRR abs/1904.12248 (2019) - [i6]Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Philippe Fournier-Viger, Xuan Wang, Philip S. Yu:
Utility-Driven Mining of Trend Information for Intelligent System. CoRR abs/1912.11666 (2019) - 2018
- [j68]Jerry Chun-Wei Lin, Shifeng Ren, Philippe Fournier-Viger:
MEMU: More Efficient Algorithm to Mine High Average-Utility Patterns With Multiple Minimum Average-Utility Thresholds. IEEE Access 6: 7593-7609 (2018) - [j67]Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Matin Pirouz, Philippe Fournier-Viger:
TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns. IEEE Access 6: 18655-18669 (2018) - [j66]Mustapha Bouakkaz, Youcef Ouinten, Sabine Loudcher, Philippe Fournier-Viger:
Efficiently mining frequent itemsets applied for textual aggregation. Appl. Intell. 48(4): 1013-1019 (2018) - [j65]Linh T. T. Nguyen, Bay Vo, Loan T. T. Nguyen, Philippe Fournier-Viger, Ali Selamat:
ETARM: an efficient top-k association rule mining algorithm. Appl. Intell. 48(5): 1148-1160 (2018) - [j64]Quang-Huy Duong, Philippe Fournier-Viger, Heri Ramampiaro, Kjetil Nørvåg, Thu-Lan Dam:
Efficient high utility itemset mining using buffered utility-lists. Appl. Intell. 48(7): 1859-1877 (2018) - [j63]Jerry Chun-Wei Lin, Yinan Shao, Philippe Fournier-Viger, Youcef Djenouri, Xiangmin Guo:
Maintenance algorithm for high average-utility itemsets with transaction deletion. Appl. Intell. 48(10): 3691-3706 (2018) - [j62]Duy-Tai Dinh, Bac Le, Philippe Fournier-Viger, Van-Nam Huynh:
An efficient algorithm for mining periodic high-utility sequential patterns. Appl. Intell. 48(12): 4694-4714 (2018) - [j61]Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin:
A new framework for metaheuristic-based frequent itemset mining. Appl. Intell. 48(12): 4775-4791 (2018) - [j60]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) - [j59]Bac Le, Duy-Tai Dinh, Van-Nam Huynh, Quang-Minh Nguyen, Philippe Fournier-Viger:
An efficient algorithm for Hiding High Utility Sequential Patterns. Int. J. Approx. Reason. 95: 77-92 (2018) - [j58]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) - [j57]Youcef Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin:
Fast and effective cluster-based information retrieval using frequent closed itemsets. Inf. Sci. 453: 154-167 (2018) - [j56]Youcef Djenouri, Asma Belhadi, Philippe Fournier-Viger, Hamido Fujita:
Mining diversified association rules in big datasets: A cluster/GPU/genetic approach. Inf. Sci. 459: 117-134 (2018) - [j55]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Justin Zhan, Ji Zhang:
Exploiting highly qualified pattern with frequency and weight occupancy. Knowl. Inf. Syst. 56(1): 165-196 (2018) - [j54]Youcef Djenouri, Asma Belhadi, Philippe Fournier-Viger:
Extracting useful knowledge from event logs: A frequent itemset mining approach. Knowl. Based Syst. 139: 132-148 (2018) - [j53]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Hamido Fujita:
Extracting non-redundant correlated purchase behaviors by utility measure. Knowl. Based Syst. 143: 30-41 (2018) - [j52]Quang-Huy Duong, Heri Ramampiaro, Kjetil Nørvåg, Philippe Fournier-Viger, Thu-Lan Dam:
High utility drift detection in quantitative data streams. Knowl. Based Syst. 157: 34-51 (2018) - [j51]Majdi M. Mafarja, Ibrahim Aljarah, Ali Asghar Heidari, Hossam Faris, Philippe Fournier-Viger, Xiaodong Li, Seyedali Mirjalili:
Binary dragonfly optimization for feature selection using time-varying transfer functions. Knowl. Based Syst. 161: 185-204 (2018) - [j50]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) - [c112]Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Yun Sing Koh:
Discovering High Utility Change Points in Customer Transaction Data. ADMA 2018: 392-402 - [c111]Moana Stirling, Yun Sing Koh, Philippe Fournier-Viger, Sri Devi Ravana:
Concept Drift Detector Selection for Hoeffding Adaptive Trees. Australasian Conference on Artificial Intelligence 2018: 730-736 - [c110]Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Youcef Djenouri, Ji Zhang:
Anonymization of Multiple and Personalized Sensitive Attributes. DaWaK 2018: 204-215 - [c109]Philippe Fournier-Viger, Zhitian Li, Jerry Chun-Wei Lin, Rage Uday Kiran, Hamido Fujita:
Discovering Periodic Patterns Common to Multiple Sequences. DaWaK 2018: 231-246 - [c108]Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Hamido Fujita, Yun Sing Koh:
Mining Local High Utility Itemsets. DEXA (2) 2018: 450-460 - [c107]Jerry Chun-Wei Lin, Yuyu Zhang, Philippe Fournier-Viger, Youcef Djenouri, Ji Zhang:
A Metaheuristic Algorithm for Hiding Sensitive Itemsets. DEXA (2) 2018: 492-498 - [c106]Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Matin Pirouz, Philippe Fournier-Viger:
New Tighter Upper Bounds for Mining High Average-Utility Itemsets. ICBDE 2018: 27-32 - [c105]Hanane Amirat, Abderrahim Benslimane, Philippe Fournier-Viger, Nasreddine Lagraa:
LocRec: Rule-Based Successive Location Recommendation in LBSN. ICC 2018: 1-6 - [c104]Jerry Chun-Wei Lin, Philippe Fournier-Viger, Lintai Wu, Wensheng Gan, Youcef Djenouri, Ji Zhang:
PPSF: An Open-Source Privacy-Preserving and Security Mining Framework. ICDM Workshops 2018: 1459-1463 - [c103]Philippe Fournier-Viger, Xiang Li, Jie Yao, Jerry Chun-Wei Lin:
Interactive Discovery of Statistically Significant Itemsets. IEA/AIE 2018: 101-113 - [c102]Koffi V. C. Kevin de Souza, Jalal Almhana, Philippe Fournier-Viger:
Radio Data Transmission Reduction in Power-Constrained WSN. IWCMC 2018: 285-290 - [c101]Youcef Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin:
Discovering Strong Meta Association Rules Using Bees Swarm Optimization. PAKDD (Workshops) 2018: 195-206 - [c100]Philippe Fournier-Viger, Tianbiao Liu, Jerry Chun-Wei Lin:
Football Pass Prediction Using Player Locations. MLSA@PKDD/ECML 2018: 152-158 - [i5]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, Philip S. Yu:
A Survey of Utility-Oriented Pattern Mining. CoRR abs/1805.10511 (2018) - [i4]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
A Survey of Parallel Sequential Pattern Mining. CoRR abs/1805.10515 (2018) - [i3]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Philip S. Yu:
HUOPM: High Utility Occupancy Pattern Mining. CoRR abs/1812.10926 (2018) - 2017
- [j49]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) - [j48]Xiaodong Zhu, Ji Zhang, Hongzhou Li, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Liang Chang:
FRIOD: A Deeply Integrated Feature-Rich Interactive System for Effective and Efficient Outlier Detection. IEEE Access 5: 25682-25695 (2017) - [j47]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) - [j46]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) - [j45]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) - [j44]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Justin Zhan:
Mining of frequent patterns with multiple minimum supports. Eng. Appl. Artif. Intell. 60: 83-96 (2017) - [j43]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Jimmy Ming-Tai Wu, Justin Zhan:
Extracting recent weighted-based patterns from uncertain temporal databases. Eng. Appl. Artif. Intell. 61: 161-172 (2017) - [j42]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) - [j41]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) - [j40]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) - [j39]Hanane Amirat, Nasreddine Lagraa, Philippe Fournier-Viger, Youcef Ouinten:
MyRoute: A Graph-Dependency Based Model for Real-Time Route Prediction. J. Commun. 12(12): 668 (2017) - [j38]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) - [j37]Souleymane Zida, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng:
EFIM: a fast and memory efficient algorithm for high-utility itemset mining. Knowl. Inf. Syst. 51(2): 595-625 (2017) - [j36]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) - [j35]Thu-Lan Dam, Kenli Li, Philippe Fournier-Viger, Quang-Huy Duong:
An efficient algorithm for mining top-k on-shelf high utility itemsets. Knowl. Inf. Syst. 52(3): 621-655 (2017) - [j34]Bac Le, Hai V. Duong, Tin C. Truong, Philippe Fournier-Viger:
FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy. Knowl. Inf. Syst. 53(1): 71-107 (2017) - [j33]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) - [j32]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) - [j31]Thu-Lan Dam, Kenli Li, Philippe Fournier-Viger:
Chemical reaction optimization with unified tabu search for the vehicle routing problem. Soft Comput. 21(21): 6421-6433 (2017) - [j30]Philippe Fournier-Viger, Jerry Chun-Wei Lin, Bay Vo, Tin Chi Truong, Ji Zhang, Hoai Bac Le:
A survey of itemset mining. WIREs Data Mining Knowl. Discov. 7(4) (2017) - [c99]Jerry Chun-Wei Lin, Jiexiong Zhang, Philippe Fournier-Viger:
High-Utility Sequential Pattern Mining with Multiple Minimum Utility Thresholds. APWeb/WAIM (1) 2017: 215-229 - [c98]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao:
Exploiting High Utility Occupancy Patterns. APWeb/WAIM (1) 2017: 239-247 - [c97]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao:
Extracting Non-redundant Correlated Purchase Behaviors by Utility Measure. DaWaK 2017: 433-446 - [c96]Youcef Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin:
An Hybrid Multi-Core/GPU-Based Mimetic Algorithm for Big Association Rule Mining. ICGEC 2017: 59-65 - [c95]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 - [c94]Benjamin Dalmas, Philippe Fournier-Viger, Sylvie Norre:
TWINCLE : A Constrained Sequential Rule Mining Algorithm for Event Logs. KES 2017: 205-214 - [c93]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 - [c92]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng:
Mining High-Utility Itemsets with Both Positive and Negative Unit Profits from Uncertain Databases. PAKDD (1) 2017: 434-446 - [c91]R. Uday Kiran, J. N. Venkatesh, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Periodic Patterns in Non-uniform Temporal Databases. PAKDD (2) 2017: 604-617 - [c90]Koffi V. C. Kevin de Souza, Catherine Almhana, Philippe Fournier-Viger, Jalal Almhana:
Energy-Efficient Partitioning Clustering Algorithm for Wireless Sensor Network. WICON 2017: 14-23 - [c89]Xin Zhang, Cheng-Wei Wu, Philippe Fournier-Viger, Lan-Da Van, Yu-Chee Tseng:
Analyzing students' attention in class using wearable devices. WoWMoM 2017: 1-9 - 2016
- [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]Thu-Lan Dam, Kenli Li, Philippe Fournier-Viger, Quang-Huy Duong:
An efficient algorithm for mining top-rank-k frequent patterns. Appl. Intell. 45(1): 96-111 (2016) - [j24]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) - [j23]Jerry Chun-Wei Lin, Tsu-Yang Wu, Philippe Fournier-Viger, Guo Lin, Justin Zhan, Miroslav Voznák:
Fast algorithms for hiding sensitive high-utility itemsets in privacy-preserving utility mining. Eng. Appl. Artif. Intell. 55: 269-284 (2016) - [j22]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) - [j21]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) - [j20]Raïssa Yapan Dougnon, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Roger Nkambou:
Inferring social network user profiles using a partial social graph. J. Intell. Inf. Syst. 47(2): 313-344 (2016) - [j19]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) - [j18]Quang-Huy Duong, Bo Liao, Philippe Fournier-Viger, Thu-Lan Dam:
An efficient algorithm for mining the top-k high utility itemsets, using novel threshold raising and pruning strategies. Knowl. Based Syst. 104: 106-122 (2016) - [j17]Jerry Chun-Wei Lin, Philippe Fournier-Viger, Wensheng Gan:
FHN: An efficient algorithm for mining high-utility itemsets with negative unit profits. Knowl. Based Syst. 111: 283-298 (2016) - [j16]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) - [j15]Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu:
Efficient Algorithms for Mining Top-K High Utility Itemsets. IEEE Trans. Knowl. Data Eng. 28(1): 54-67 (2016) - [c88]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 - [c87]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Mining Discriminative High Utility Patterns. ACIIDS (2) 2016: 219-229 - [c86]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao:
Mining Recent High Expected Weighted Itemsets from Uncertain Databases. APWeb (1) 2016: 581-593 - [c85]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao:
Mining Recent High-Utility Patterns from Temporal Databases with Time-Sensitive Constraint. DaWaK 2016: 3-18 - [c84]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao:
More Efficient Algorithms for Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds. DEXA (1) 2016: 71-87 - [c83]Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, Usef Faghihi:
Mining Minimal High-Utility Itemsets. DEXA (1) 2016: 88-101 - [c82]Usef Faghihi, Donald Aguilar, David Chatman, Nicholas Gautier, Jeffrey Gholson, Justin Gholson, Melvin Lipka, Robert Dill, Philippe Fournier-Viger, Sioui Maldonado-Bouchard:
How to Apply Gamification Techniques to Design a Gaming Environment for Algebra Concepts. eLEOT 2016: 62-70 - [c81]Yao Jean Marc Pokou, Philippe Fournier-Viger, Chadia Moghrabi:
Authorship Attribution Using Small Sets of Frequent Part-of-Speech Skip-grams. FLAIRS 2016: 86-91 - [c80]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 - [c79]Philippe Fournier-Viger, Jerry Chun-Wei Lin, Tai Dinh, Hoai Bac Le:
Mining Correlated High-Utility Itemsets Using the Bond Measure. HAIS 2016: 53-65 - [c78]Yao Jean Marc Pokou, Philippe Fournier-Viger, Chadia Moghrabi:
Authorship Attribution using Variable Length Part-of-Speech Patterns. ICAART (2) 2016: 354-361 - [c77]Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Siddharth Dawar, Vikram Goyal, Ashish Sureka, Bay Vo:
A More Efficient Algorithm to Mine Skyline Frequent-Utility Patterns. ICGEC 2016: 127-135 - [c76]Philippe Fournier-Viger, Jerry Chun-Wei Lin, Quang-Huy Duong, Thu-Lan Dam:
FHM + : Faster High-Utility Itemset Mining Using Length Upper-Bound Reduction. IEA/AIE 2016: 115-127 - [c75]Yao Jean Marc Pokou, Philippe Fournier-Viger, Chadia Moghrabi:
Using Frequent Fixed or Variable-Length POS Ngrams or Skip-Grams for Blog Authorship Attribution. AIAI 2016: 63-74 - [c74]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 - [c73]Philippe Fournier-Viger, Jerry Chun-Wei Lin, Quang-Huy Duong, Thu-Lan Dam:
PHM: Mining Periodic High-Utility Itemsets. ICDM 2016: 64-79 - [c72]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 - [c71]Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng:
EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets. MLDM 2016: 199-213 - [c70]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 - [c69]Philippe Fournier-Viger, Jerry Chun-Wei Lin, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Zhi-Hong Deng, Hoang Thanh Lam:
The SPMF Open-Source Data Mining Library Version 2. ECML/PKDD (3) 2016: 36-40 - [c68]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 - [c67]Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng:
Efficient closed high-utility itemset mining. SAC 2016: 898-900 - [c66]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 - [c65]Jerry Chun-Wei Lin, Philippe Fournier-Viger:
Employing the neural networks to parametrically assess the quality of a voice call. SPECTS 2016: 1-5 - [c64]Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao:
More Efficient Algorithm for Mining Frequent Patterns with Multiple Minimum Supports. WAIM (1) 2016: 3-16 - [c63]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 - 2015
- [j14]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) - [j13]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) - [j12]Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu:
Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets. IEEE Trans. Knowl. Data Eng. 27(3): 726-739 (2015) - [j11]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Longbing Cao, Roger Nkambou:
Mining Partially-Ordered Sequential Rules Common to Multiple Sequences. IEEE Trans. Knowl. Data Eng. 27(8): 2203-2216 (2015) - [c62]Raïssa Yapan Dougnon, Philippe Fournier-Viger, Roger Nkambou:
Inferring User Profiles in Online Social Networks Using a Partial Social Graph. Canadian AI 2015: 84-99 - [c61]Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong:
Mining Weighted Frequent Itemsets with the Recency Constraint. APWeb 2015: 635-646 - [c60]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 - [c59]Philippe Fournier-Viger, Jerry Chun-Wei Lin, Ted Gueniche, Prashant Barhate:
Efficient Incremental High Utility Itemset Mining. ASE BD&SI 2015: 53:1-53:6 - [c58]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 - [c57]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 - [c56]Ted Gueniche, Philippe Fournier-Viger:
Réduction de la complexité spatiale et temporelle du Compact Prediction Tree pour la prédiction de séquences. EGC 2015: 59-70 - [c55]Vincent S. Tseng, Cheng-Wei Wu, Jun-Han Lin, Philippe Fournier-Viger:
UP-Miner: A Utility Pattern Mining Toolbox. ICDM Workshops 2015: 1656-1659 - [c54]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 - [c53]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 - [c52]Raïssa Yapan Dougnon, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Roger Nkambou:
Accurate Online Social Network User Profiling. KI 2015: 264-270 - [c51]Souleymane Zida, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng:
EFIM: A Highly Efficient Algorithm for High-Utility Itemset Mining. MICAI (1) 2015: 530-546 - [c50]Raïssa Yapan Dougnon, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Roger Nkambou:
More Accurate Inference of User Profiles in Online Social Networks. MICAI (2) 2015: 533-546 - [c49]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 - [c48]Souleymane Zida, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, Vincent S. Tseng:
Efficient Mining of High-Utility Sequential Rules. MLDM 2015: 157-171 - [c47]Ted Gueniche, Philippe Fournier-Viger, Rajeev Raman, Vincent S. Tseng:
CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree. PAKDD (2) 2015: 625-636 - [c46]Philippe Fournier-Viger, Souleymane Zida:
FOSHU: faster on-shelf high utility itemset mining - with or without negative unit profit. SAC 2015: 857-864 - [c45]Cheng-Wei Wu, Philippe Fournier-Viger, Jia-Yuan Gu, Vincent S. Tseng:
Mining closed+ high utility itemsets without candidate generation. TAAI 2015: 187-194 - 2014
- [j10]Philippe Fournier-Viger, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Cheng-Wei Wu, Vincent S. Tseng:
SPMF: a Java open-source pattern mining library. J. Mach. Learn. Res. 15(1): 3389-3393 (2014) - [c44]Philippe Fournier-Viger:
FHN: Efficient Mining of High-Utility Itemsets with Negative Unit Profits. ADMA 2014: 16-29 - [c43]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng:
Novel Concise Representations of High Utility Itemsets Using Generator Patterns. ADMA 2014: 30-43 - [c42]Philippe Fournier-Viger, Cheng-Wei Wu, Antonio Gomariz, Vincent S. Tseng:
VMSP: Efficient Vertical Mining of Maximal Sequential Patterns. Canadian AI 2014: 83-94 - [c41]Philippe Fournier-Viger, Antonio Gomariz, Michal Sebek, Martin Hlosta:
VGEN: Fast Vertical Mining of Sequential Generator Patterns. DaWaK 2014: 476-488 - [c40]Philippe Fournier-Viger, Ted Gueniche, Souleymane Zida, Vincent S. Tseng:
ERMiner: Sequential Rule Mining Using Equivalence Classes. IDA 2014: 108-119 - [c39]Espérance Mwamikazi, Philippe Fournier-Viger, Chadia Moghrabi, Adnen Barhoumi, Robert Baudouin:
An Adaptive Questionnaire for Automatic Identification of Learning Styles. IEA/AIE (1) 2014: 399-409 - [c38]Espérance Mwamikazi, Philippe Fournier-Viger, Chadia Moghrabi, Robert Baudouin:
A Dynamic Questionnaire to Further Reduce Questions in Learning Style Assessment. AIAI 2014: 224-235 - [c37]Philippe Fournier-Viger, Cheng-Wei Wu, Souleymane Zida, Vincent S. Tseng:
FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning. ISMIS 2014: 83-92 - [c36]Ted Gueniche, Philippe Fournier-Viger, Roger Nkambou, Vincent S. Tseng:
WBPL: An Open-Source Library for Predicting Web Surfing Behaviors. ISMIS 2014: 524-529 - [c35]Philippe Fournier-Viger, Antonio Gomariz, Manuel Campos, Rincy Thomas:
Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information. PAKDD (1) 2014: 40-52 - 2013
- [j9]Philippe Fournier-Viger, Roger Nkambou, Engelbert Mephu Nguifo, André Mayers, Usef Faghihi:
A Multiparadigm Intelligent Tutoring System for Robotic Arm Training. IEEE Trans. Learn. Technol. 6(4): 364-377 (2013) - [c34]Philippe Fournier-Viger, Espérance Mwamikazi, Ted Gueniche, Usef Faghihi:
MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining. ADMA (2) 2013: 95-106 - [c33]Philippe Fournier-Viger, Antonio Gomariz, Ted Gueniche, Espérance Mwamikazi, Rincy Thomas:
TKS: Efficient Mining of Top-K Sequential Patterns. ADMA (1) 2013: 109-120 - [c32]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng:
Mining Maximal Sequential Patterns without Candidate Maintenance. ADMA (1) 2013: 169-180 - [c31]Ted Gueniche, Philippe Fournier-Viger, Vincent S. Tseng:
Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction. ADMA (2) 2013: 177-188 - [c30]Eric Snow, Chadia Moghrabi, Philippe Fournier-Viger:
Assessing Procedural Knowledge in Free-Text Answers through a Hybrid Semantic Web Approach. ICTAI 2013: 698-706 - [c29]Philippe Fournier-Viger, Vincent S. Tseng:
TNS: mining top-k non-redundant sequential rules. SAC 2013: 164-166 - 2012
- [j8]Philippe Fournier-Viger, Usef Faghihi, Roger Nkambou, Engelbert Mephu Nguifo:
CMRules: Mining sequential rules common to several sequences. Knowl. Based Syst. 25(1): 63-76 (2012) - [j7]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou:
A computational model for causal learning in cognitive agents. Knowl. Based Syst. 30: 48-56 (2012) - [c28]Philippe Fournier-Viger, Ted Gueniche, Vincent S. Tseng:
Using Partially-Ordered Sequential Rules to Generate More Accurate Sequence Prediction. ADMA 2012: 431-442 - [c27]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng:
Mining Top-K Association Rules. Canadian AI 2012: 61-73 - [c26]Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Roger Nkambou:
Mining Sequential Rules Common to Several Sequences with the Window Size Constraint. Canadian AI 2012: 299-304 - [c25]Philippe Fournier-Viger, Vincent S. Tseng:
Mining Top-K Non-redundant Association Rules. ISMIS 2012: 31-40 - [c24]Philippe Fournier-Viger, Roger Nkambou, André Mayers, Engelbert Mephu Nguifo, Usef Faghihi:
Multi-paradigm Generation of Tutoring Feedback in Robotic Arm Manipulation Training. ITS 2012: 233-242 - 2011
- [j6]Usef Faghihi, Pierre Poirier, Philippe Fournier-Viger, Roger Nkambou:
Human-like learning in a conscious agent. J. Exp. Theor. Artif. Intell. 23(4): 497-528 (2011) - [j5]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier:
Identifying Causes Helps a Tutoring System to Better Adapt to Learners duringTraining Sessions. J. Intell. Learn. Syst. Appl. 3(3): 139-154 (2011) - [j4]Roger Nkambou, Philippe Fournier-Viger, Engelbert Mephu Nguifo:
Learning task models in ill-defined domain using an hybrid knowledge discovery framework. Knowl. Based Syst. 24(1): 176-185 (2011) - [c23]Philippe Fournier-Viger, Vincent S. Tseng:
Mining Top-K Sequential Rules. ADMA (2) 2011: 180-194 - [c22]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou:
A Cognitive Tutoring Agent with Episodic and Causal Learning Capabilities. AIED 2011: 72-80 - [c21]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou:
A Cognitive Tutoring Agent with Automatic Reasoning Capabilities. FLAIRS 2011 - [c20]Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, Vincent S. Tseng:
Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets. ICDM 2011: 824-833 - [c19]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou:
Implementing an Efficient Causal Learning Mechanism in a Cognitive Tutoring Agent. IEA/AIE (2) 2011: 27-36 - [c18]Philippe Fournier-Viger, Roger Nkambou, André Mayers, Engelbert Mephu Nguifo, Usef Faghihi:
An Hybrid Expert Model to Support Tutoring Services in Robotic Arm Manipulations. MICAI (1) 2011: 478-489 - [c17]Philippe Fournier-Viger, Roger Nkambou, Vincent Shin-Mu Tseng:
RuleGrowth: mining sequential rules common to several sequences by pattern-growth. SAC 2011: 956-961 - 2010
- [j3]Philippe Fournier-Viger, Usef Faghihi, Roger Nkambou, Engelbert Mephu Nguifo:
Exploiting Sequential Patterns Found in Users' Solutions and Virtual Tutor Behavior to Improve Assistance in ITS. J. Educ. Technol. Soc. 13(1): 13-24 (2010) - [c16]Philippe Fournier-Viger, Usef Faghihi, Roger Nkambou, Engelbert Mephu Nguifo:
CMRULES: An Efficient Algorithm for Mining Sequential Rules Common to Several Sequences. FLAIRS 2010 - [c15]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier:
The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent. IEA/AIE (2) 2010: 438-449 - [c14]Philippe Fournier-Viger, Roger Nkambou, Engelbert Mephu Nguifo, André Mayers:
ITS in Ill-Defined Domains: Toward Hybrid Approaches. Intelligent Tutoring Systems (2) 2010: 318-320 - [p2]Philippe Fournier-Viger, Roger Nkambou, Engelbert Mephu Nguifo:
Building Intelligent Tutoring Systems for Ill-Defined Domains. Advances in Intelligent Tutoring Systems 2010: 81-101
2000 – 2009
- 2009
- [j2]Roger Nkambou, Philippe Fournier-Viger, Engelbert Mephu Nguifo:
Improving the Behavior of Intelligent Tutoring Agents with Data Mining. IEEE Intell. Syst. 24(3): 46-53 (2009) - [c13]Philippe Fournier-Viger, Roger Nkambou, Engelbert Mephu Nguifo:
Exploiting Partial Problem Spaces Learned from Users' Interactions to Provide Key Tutoring Services in Procedural and Ill-Defined Domains. AIED 2009: 383-390 - [c12]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier:
A Generic Episodic Learning Model Implemented in a Cognitive Agent by Means of Temporal Pattern Mining. IEA/AIE 2009: 545-555 - [c11]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier, André Mayers:
How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent. IEEE IA 2009: 23-30 - [p1]Philippe Fournier-Viger, Roger Nkambou, Usef Faghihi, Engelbert Mephu Nguifo:
Mining Temporal Patterns to Improve Agents Behavior: Two Case Studies. Data Mining and Multi-agent Integration 2009: 77-92 - [i2]Philippe Fournier-Viger, Roger Nkambou, Engelbert Mephu Nguifo:
A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems. CoRR abs/0901.4761 (2009) - [i1]Usef Faghihi, Philippe Fournier-Viger, Roger Nkambou, Pierre Poirier, André Mayers:
How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent. CoRR abs/0901.4963 (2009) - 2008
- [j1]Philippe Fournier-Viger, Roger Nkambou, André Mayers:
Evaluating Spatial Representations and Skills in a Simulator-Based Tutoring System. IEEE Trans. Learn. Technol. 1(1): 63-74 (2008) - [c10]Philippe Fournier-Viger, Roger Nkambou, André Mayers:
Evaluating Spatial Knowledge through Problem-Solving in Virtual Learning Environments. EC-TEL 2008: 15-26 - [c9]Philippe Fournier-Viger, Roger Nkambou, André Mayers:
A Framework for Evaluating Semantic Knowledge in Problem-Solving-Based Intelligent Tutoring Systems. FLAIRS 2008: 409-414 - [c8]Roger Nkambou, Engelbert Mephu Nguifo, Philippe Fournier-Viger:
Using Knowledge Discovery Techniques to Support Tutoring in an Ill-Defined Domain. Intelligent Tutoring Systems 2008: 395-405 - [c7]Philippe Fournier-Viger, Roger Nkambou, Engelbert Mephu Nguifo:
A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems. MICAI 2008: 765-778 - 2007
- [c6]Roger Nkambou, Engelbert Mephu Nguifo, Olivier Couturier, Philippe Fournier-Viger:
Problem-Solving Knowledge Mining from Users' Actions in an Intelligent Tutoring System. Canadian AI 2007: 393-404 - [c5]Roger Nkambou, Engelbert Mephu Nguifo, Olivier Couturier, Philippe Fournier-Viger:
A Framework for Problem-Solving Knowledge Mining from Users' Actions. AIED 2007: 623-625 - [c4]Philippe Fournier-Viger, Roger Nkambou, André Mayers, Daniel Dubois:
Automatic Evaluation of Spatial Representations for Complex Robotic Arms Manipulations. ICALT 2007: 279-281 - 2006
- [c3]Mehdi Najjar, Philippe Fournier-Viger, Jean-François Lebeau, André Mayers:
Recalling Recollections according to Temporal Contexts Applying a Novel Cognitive Knowledge Representation Approach. IEEE ICCI 2006: 424-433 - [c2]Philippe Fournier-Viger, Mehdi Najjar, André Mayers, Roger Nkambou:
From Black-Box Learning Objects to Glass-Box Learning Objects. Intelligent Tutoring Systems 2006: 258-267 - 2005
- [c1]Mehdi Najjar, Philippe Fournier-Viger, André Mayers, Jean Halle:
DOKGETT - An Authoring Tool for Cognitive Model-Based Generation of the Knowledge. ICALT 2005: 371-375
Coauthor Index
Hai V. Duong
aka: Hai Van Duong
aka: Hai Van Duong
[j184] [j182] [j180] [j160] [i19] [j136] [c178] [c177] [i13] [i11] [j123] [j110] [j109] [j108] [j107] [j106] [c161] [c151] [c147] [j91] [j89] [j71] [i9] [i8] [i7] [i6] [j55] [j53] [j50] [c104] [i5] [i4] [i3] [j45] [j44] [j43] [j40] [j36] [j33] [c98] [c97] [c92] [j28] [j26] [j21] [j19] [j17] [j16] [c87] [c86] [c85] [c84] [c70] [c68] [c64] [c63] [j14] [c61] [c60] [c58] [c57]
Yu-Lin He
aka: Yulin He
aka: Yulin He
R. Uday Kiran
aka: Rage Uday Kiran
aka: Rage Uday Kiran
Bac Le
aka: Hoai Bac Le
aka: Hoai Bac Le
[j190] [j175] [j166] [j150] [j148] [j128] [j123] [j121] [j119] [j118] [j117] [j113] [j110] [j108] [j107] [j106] [c163] [c162] [c161] [c156] [c154] [c151] [c150] [j105] [j101] [j100] [j98] [j97] [j94] [j93] [j91] [j89] [j88] [c144] [c142] [c138] [c137] [c136] [c135] [j87] [j85] [j82] [j80] [j79] [j78] [j77] [j75] [j72] [j71] [c133] [c132] [c130] [c129] [c128] [c127] [c126] [c125] [c121] [c118] [c115] [c113] [i9] [i8] [i7] [i6] [j68] [j67] [j63] [j61] [j60] [j58] [j57] [j55] [j53] [j50] [c112] [c110] [c109] [c108] [c107] [c106] [c104] [c103] [c101] [c100] [i5] [i4] [i3] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j38] [j37] [j36] [j33] [j32] [j30] [c99] [c98] [c97] [c96] [c95] [c93] [c92] [j29] [j28] [j27] [j26] [j24] [j23] [j22] [j21] [j20] [j19] [j17] [j16] [c88] [c87] [c86] [c85] [c84] [c83] [c80] [c79] [c77] [c76] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [j14] [j13] [c61] [c60] [c59] [c58] [c57] [c54] [c53] [c52] [c51] [c50] [c49] [c48]
Vincent S. Tseng
aka: Vincent Shin-Mu Tseng
aka: Vincent Shin-Mu Tseng
Justin Zhijun Zhan
aka: Justin Zhan
aka: Justin Zhan
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