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ORCIDIntelligent Data Analysis, Volume 24
Volume 24, Number 1, 2020
- Editorial. 1-3
- Donghoon Kang, Sejong Oh:
Balanced training/test set sampling for proper evaluation of classification models. 5-18 - Dongdong Lv, Dong Wang, Meizi Li, Yang Xiang:
DNN models based on dimensionality reduction for stock trading. 19-45 - Ahmad S. Tarawneh, Ceyhun Celik, Ahmad B. A. Hassanat, Dmitry Chetverikov:
Detailed investigation of deep features with sparse representation and dimensionality reduction in CBIR: A comparative study. 47-68 - Xuebing Yang
, Yajing Wu, Wensheng Zhang, Wei Tang:
Label distribution learning with climate probability for ensemble forecasting. 69-82 - Li Cheng, Yijie Wang, Xingkong Ma:
An end-to-end distance measuring for mixed data based on deep relevance learning. 83-99 - Tingting Sun, Chunhong Zhang, Yang Ji, Zheng Hu:
A latent-label denoising method for relation extraction with self-directed confidence learning. 101-117 - Shuaihui Wang, Guopeng Li, Guyu Hu, Hao Wei, Yu Pan, Zhisong Pan:
Community detection in dynamic networks using constraint non-negative matrix factorization. 119-139 - Richard A. Bauder, Taghi M. Khoshgoftaar:
A study on rare fraud predictions with big Medicare claims fraud data. 141-161 - Mingxin Yu, Hao Yan, Jing Han, Yingzi Lin, Lianqing Zhu, Xiaoying Tang, Guangkai Sun, Yanlin He, Yikang Guo:
EEG-based tonic cold pain assessment using extreme learning machine. 163-182 - Linsen Guo, Deyu Zhou, Yulan He, Haiyang Xu:
Storyline extraction from news articles with dynamic dependency. 183-197 - Gianluca Micchi, Saeid Soheily-Khah, Jacob Turner:
A new optimization layer for real-time bidding advertising campaigns. 199-224
Volume 24, Number 2, 2020
- Editorial. 225-227
- Zuo Chen, Xin Li, Min Wang, Shenggang Yang:
Domain sentiment dictionary construction and optimization based on multi-source information fusion. 229-251 - Ibrahim Hussein Musa, Kang Xu, Feng Liu, Ibrahim Zamit, Waheed Ahmed Abro, Guilin Qi:
A cross-lingual sentiment topic model evolution over time. 253-266 - Katherine C. Kempfert, Yishi Wang, Cuixian Chen, Samuel W. K. Wong:
A comparison study on nonlinear dimension reduction methods with kernel variations: Visualization, optimization and classification. 267-290 - Zeynep Adak, Ayhan Demiriz:
Hybridization of population-based ant colony optimization via data mining. 291-307 - Mehdi Abedi, Farhad Soleimanian Gharehchopogh:
An improved opposition based learning firefly algorithm with dragonfly algorithm for solving continuous optimization problems. 309-338 - Jorge Rosales-Salas, Sebastián Maldonado, Alex Seret:
Mining sequences in activities for time use analysis. 339-362 - Jingmei Li, Weifei Wu, Di Xue:
An intrusion detection method based on active transfer learning. 363-383 - Zhiyi Duan, Limin Wang, Minghui Sun:
Efficient heuristics for learning Bayesian network from labeled and unlabeled data. 385-408 - Yiran Wen, Xiu Cao, Xueping Wang, Fangyuan Liu:
Biased transfer matching for less overlapping degree for unsupervised domain adaptation. 409-425 - Yaocheng Gui, Qian Liu, Zhiqiang Gao:
Learning labeling functions in distantly supervised relation extraction. 427-443 - Kejun Deng, Xuemiao Zhang, Songtao Ye, Junfei Liu:
Knowledge-embodied attention for distantly supervised relation extraction. 445-457 - Adnan El Moussawi, Arnaud Giacometti, Nicolas Labroche, Arnaud Soulet:
MAPK-means: A clustering algorithm with quantitative preferences on attributes. 459-489
Volume 24, Number 3, 2020
- Editorial. 491-493
- N. Senthil Selvan, V. Subramaniyaswamy, Varadarajan Vijayakumar, Hamid Reza Karimi, N. Aswin, Logesh Ravi:
Distributed frequent subgraph mining on evolving graph using SPARK. 495-513 - Leticia I. Gómez, Bart Kuijpers, Alejandro A. Vaisman:
Online analytical processsing on graph data. 515-541 - Thiago de Paulo Faleiros, Alan Valejo, Alneu de Andrade Lopes:
Unsupervised learning of textual pattern based on Propagation in Bipartite Graph. 543-565 - Yihong Zhang, Adam Jatowt:
Estimating a one-class naive Bayes text classifier. 567-579 - Jinkun Luo, Fazhi He, Jiashi Yong:
An efficient and robust bat algorithm with fusion of opposition-based learning and whale optimization algorithm. 581-606 - Nikos Fazakis, Georgios Kostopoulos, Stamatis Karlos, Sotiris Kotsiantis, Kyriakos N. Sgarbas:
An active learning ensemble method for regression tasks. 607-623 - Xuan-May Thi Le, Tuan Minh Tran, Hien T. Nguyen:
An improvement of SAX representation for time series by using complexity invariance. 625-641 - Sérgio M. Dias, Luis E. Zárate, Mark A. J. Song, Newton José Vieira, Ch. Aswani Kumar:
Extraction of qualitative behavior rules for industrial processes from reduced concept lattice. 643-663 - Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón:
Analyzing concept drift: A case study in the financial sector. 665-688 - Wansang Yoon, Sung-Ho Kim:
Bayesian approach to linear state space model with unknown measurement matrix. 689-704 - Depeng Dang, Chuangxia Chen, Wenhui Yu, Huaxiao Hu:
A semantic-aware collaborative filtering recommendation method for emergency plans in response to meteorological hazards. 705-721 - Maryam Mohammadi, Somaye Arabi Naree, Mahsa Lati:
User-item content awareness in matrix factorization based collaborative recommender systems. 723-739
Volume 24, Number 4, 2020
- Editorial. 741-742
- Lynda Boukela, Gongxuan Zhang, Samia Bouzefrane, Junlong Zhou:
An outlier ensemble for unsupervised anomaly detection in honeypots data. 743-758 - Alireza Abbas Alipour, Ebrahim Ansari:
An advanced profile hidden Markov model for malware detection. 759-778 - Liliane R. da Silva, Heloina Alves Arnaldo, Huliane da Silva, Ronildo P. A. Moura, Benjamín R. C. Bedregal, Anne Magály de Paula Canuto:
Two deterministic selection methods for the initial centers in fuzzy c-means based algorithms. 779-798 - Ross Callister, Mihai M. Lazarescu, Duc-Son Pham:
RobustRepStream: Robust stream clustering using self-controlled connectivity graph. 799-830 - Vy Huynh Trieu, Hai Le Quoc, Chau Truong Ngoc:
An efficient algorithm for hiding sensitive-high utility itemsets. 831-845 - M. Prakash, Parameswaran Pabitha:
A hybrid node classification mechanism for influential node prediction in Social Networks. 847-871 - Thanh Le, Giang Tran, Hoai Bac Le:
Feature learning for representing sparse networks based on random walks. 873-886 - Dalton Ieda Fazanaro, Hélio Pedrini:
A comparative analysis of Bayesian network structure learning algorithms applied to crime data. 887-907 - Ritaban Kirtania, Sushmita Mitra, B. Uma Shankar:
A novel adaptive k-NN classifier for handling imbalance: Application to brain MRI. 909-924 - Depeng Dang, Wenhui Yu, Chuangxia Chen, Rongen Yan, Xiaoran Zhang, Xiaoming Zhu:
Real-time detection and trend tracing of burst topics based on Negative Binomial Distribution on spark. 925-940 - Guliu Liu, Lei Li, Xindong Wu:
Multi-fuzzy-constrained graph pattern matching with big graph data. 941-958 - Jia Wei, Zhenyu Cui, Liqing Qiu, Weinan Niu:
A community-based algorithm for influence maximization on dynamic social networks. 959-971
Volume 24, Number 5, 2020
- Editorial. 973-975
- Yue Liu, Bufang Li:
Bayesian hierarchical K-means clustering. 977-992 - Hejie Lei, Xingke Chen, Ling Jian:
Canal-LASSO: A sparse noise-resilient online linear regression model. 993-1010 - Luís Paulo F. Garcia, Adriano Rivolli, Edesio Alcobaça, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
Boosting meta-learning with simulated data complexity measures. 1011-1028 - Jerry Lonlac, Engelbert Mephu Nguifo:
A novel algorithm for searching frequent gradual patterns from an ordered data set. 1029-1042 - Jacques Fize, Mathieu Roche, Maguelonne Teisseire:
Could spatial features help the matching of textual data? 1043-1064 - Kudakwashe Zvarevashe, Oludayo O. Olugbara:
Recognition of speech emotion using custom 2D-convolution neural network deep learning algorithm. 1065-1086 - Huiping Guo, Hongru Li:
An efficient Bayesian network structure learning algorithm using the strategy of two-stage searches. 1087-1106 - Malika Uteuliyeva, Abylay Zhumekenov, Rustem Takhanov, Zhenisbek Assylbekov, Alejandro J. Castro, Olzhas Kabdolov:
Fourier neural networks: A comparative study. 1107-1120 - Heraldo Borges, Murillo Dutra, Amin Bazaz, Rafaelli Coutinho, Fabio Perosi, Fábio Porto, Florent Masseglia, Esther Pacitti, Eduardo S. Ogasawara:
Spatial-time motifs discovery. 1121-1140 - Tomás Alegre Sepúlveda, Brian Keith Norambuena:
Twitter sentiment analysis for the estimation of voting intention in the 2017 Chilean elections. 1141-1160 - Lichen Tai, Chihcheng Hsu:
On the profitability and errors of predicted prices from deep learning via program trading. 1161-1173 - Chien-Feng Huang, Hsiao-Chi Wu, Po-Chun Chen, Bao Rong Chang:
Autonomous self-evolving forecasting models for price movement in high frequency trading: Evidence from Taiwan. 1175-1206 - Phu Pham, Phuc Do:
W-Com2Vec: A topic-driven meta-path- based intra-community embedding for content-based heterogeneous information network. 1207-1233
Volume 24, Number 6, 2020
- A. Fazel Famili:
Editorial. 1235-1237 - Xu Wu, Youlong Yang, Lingyu Ren:
Entropy difference and kernel-based oversampling technique for imbalanced data learning. 1239-1255 - Pinlong Zhao, Zefeng Han, Qing Yin, Shuxiao Li, Ou Wu:
Sentiment analysis via dually-born-again network and sample selection. 1257-1271 - Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai:
Multiclass spectral feature scaling method for dimensionality reduction. 1273-1287 - Sirawit Sopchoke, Ken-ichi Fukui, Masayuki Numao:
Explainable and unexpectable recommendations using relational learning on multiple domains. 1289-1309 - Jozsef Suto:
Plant leaf recognition with shallow and deep learning: A comprehensive study. 1311-1328 - Xiaolan Xie, Shantian Pang, Jili Chen:
Hybrid recommendation model based on deep learning and Stacking integration strategy. 1329-1344 - Bassel Ali, Koichi Moriyama, Wasin Kalintha, Masayuki Numao, Ken-ichi Fukui:
Reinforcement learning based metric filtering for evolutionary distance metric learning. 1345-1364 - Nalluri Madhusudana Rao, Kannan Krithivasan, Xiao-Zhi Gao, Swaminathan Venkatraman, Diptendu Sinha Roy:
Parameter evolution of the classifiers for disease diagnosis with offline data-driven hybrid systems. 1365-1384 - G. Mohanraj, V. Mohanraj, J. Senthilkumar, Y. Suresh:
A hybrid deep learning model for predicting and targeting the less immunized area to improve childrens vaccination rate. 1385-1402 - Marvin Meeng, Harm de Vries, Peter A. Flach, Siegfried Nijssen, Arno J. Knobbe:
Uni- and multivariate probability density models for numeric subgroup discovery. 1403-1439 - Jun Li, Chao Li, Bin Tian, Yanzhao Liu, Chengxiang Si:
DAF: An adaptive computing framework for multimedia data streams analysis. 1441-1453 - Xuejian Wang, Michael C. Fairhurst, Anne M. P. Canuto:
Improving multi-view facial expression recognition through two novel texture-based feature representations. 1455-1476 - Rajalakshmi Sivanaiah, R. Sakaya Milton, T. T. Mirnalinee:
Content boosted hybrid filtering for solving pessimistic user problem in recommendation systems. 1477-1496
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