SCI期刊文章
2020年
[1] Peng Zhou, Peipei Li, Shu Zhao, and Xindong Wu. Feature Interaction for Streaming Feature Selection. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), in press, 2020.
[2] Lei Sang, Min Xu, Shengsheng Qian, Matt Martin, Peter Li, Xindong Wu. “Context-Dependent Propagating based Video Recommendation in Multimodal Heterogeneous Networks”. IEEE Transactions on Multimedia. DOI 10.1109/TMM.2020.3007330 2020
[3] Shuai Yang, Kui Yu, Fuyan Cao, Hao Wang, and Xindong Wu. Dual-Represent-ation based Autoencoder for Domain Adaptation. IEEE Transactions on Cybernetics (TCYB), in press, 2020.
[4] Yi Zhu, Lei Li, Xindong Wu. Stacked Convolutional Sparse Auto-Encoders for Representation Learning. ACM Transactions on Knowledge Discovery from Data(TKDD), in press, 2020.
[5] Chenyang Bu, Wenjian Luo, Tao Zhu, Ruikang Yi, Bin Yang. Species and Memory Enhanced Differential Evolution for Optimal Power Flow Under Double-Sided Uncertainties. IEEE Transactions on Sustainable Computing, vol. 5, no. 3, pp. 403-415, 2020.
[6] Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, and Thuc Le. Multi-Source Causal Feature Selection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , I: 10.1109/TPAMI.2019.2908373, 42(9): 2240-2256 , 2020.
[7] Kui Yu, Lin Liu, and Jiuyong Li. Learning Markov Blankets from Multiple Interventional Datasets. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), in press, DOI: 10.1109/TNNLS.2019.2927636, 31(6): 2005-2019, 2020.
[8] Zhaolong Lin*, Kui Yu, Hao Wang, Lei Li, and Xindong Wu. Using Feature Selection for Local Causal Structure Learning. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 10.1109/TETCI.2020.2978238, 2020.
[9] Jipeng Qiang, Zhenyu Qian, Yun Li, Yunhao Yuan, Xindong Wu. Short Text Topic Modeling Techniques, Applications, and Performance: A Survey. IEEE Transactions on Knowledge and Data Engineering (TKDE), DOI:10.1109/TKDE.2020.2992485, 2020.
[10] Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, Xindong Wu. Causality-based Feature Selection: Methods and Evaluations. ACM Computing Surveys, accepted, 2020
[11] Hao Wang, Zhaolong Ling, Kui Yu, and Xindong Wu. Towards Efficient and Effective Discovery of Markov Blankets for Feature Selection. Information Sciences 509: 227?C242, 2020.
[12] Yuhong Zhang, Yuling Li, et al. Wasserstein GAN based on Autoencoder with Backtranslation for Cross-lingual embedding mappings. Pattern Recognition Letters, 129: 311-316, January 2020.
[13] Lei Li, Xindong Wu, Huanhuan Chen, Chuan Zhou, Guanfeng Liu, Yongkang Jiang, Weighted Partial Order Oriented Three-Way Decisions under Score-based Common Voting Rules, International Journal of Approximate Reasoning (IJA), 123, 2020.: 41-54, 2020.
[14] Lei Li, Fang Zhang, Zan Zhang*, Peipei Li, Chenyang Bu, Multi-Fuzzy-Objective Graph Pattern Matching in Big Graph Environments with Reliability, Trust and Social Relationship, World Wide Web Journal (WWWJ), 23(1): 649-669, 2020.
[15] Xiulin Zheng, Peipei Li, Zhe Chu, Haixiang Zhang, and Xuegang Hu. A Survey on Multi-label Data Stream Classification. IEEE ACCESS, 8: 1249-1275, 2020.
[16] Guliu Liu, Lei Li, and Xindong Wu, Multi-Fuzzy-Constrained Graph Pattern Matching with Big Graph Data, Intelligent Data Analysis (IDA), 24(4): 941?C958, 2020.
[17] Jin He, Lei Li, Yan Wang, Xindong Wu, Targeted Aspects Oriented Topic Modeling for Short Texts, Applied Intelligence (APIN), 50(8): 2384-2399, 2020.
[18] Shuai Yang, Hao Wang, Yuhong Zhang, Peipei Li, Yi Zhu, and Xuegang Hu. Semi-supervised representation learning via dual autoencoders for domain adaptation, Knowledge-Based Systems, 2020, 190: 105161.
[19] Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu, A Framework for Subgraph Detection in Interdependent Networks via Graph Block-structured Optimization, IEEE Access, 8: 157800-157818, 2020.
[20] Xiaoling Huang, Hao Wang, Lei Li*, Yi Zhu and Chengxiang Hu, Microbloggers’ Interest Inference Using a Subgraph Stream, Intelligent Data Analysis (IDA), 25(2), 2021.
[21] Lei Sang, Min Xu, Shengsheng Qian, Xindong Wu.“Knowledge Graph Enhanced Neural Collaborative Recommendation”, Expert Systems with Applications. DOI 10.1016/j.eswa.2020.113992. 2020.
[22] Yang Shuai, Zhang Yuhong(*), Wang Hao, Peipei Li, and Xuegang Hu. Representation learning via serial robust autoencoder for domain adaptation. Expert Systems with Applications. 2020,160:113635.
[23] Bingbing Dong, Yi Zhu, Lei Li, Xindong Wu. Hybrid Collaborative Recommendation via Dual-Autoencoder. IEEE Access 8: 46030-46040 (2020).
[24] Ying He, Gongqing Wu, Desheng Cai, Shengjie Hu, Xianyu Bao, Xuegang Hu. "Attentive interaction-driven entity resolution over multi-source web information." Neurocomputing, accepted, 2020, doi: https://doi.org/10.1016/j.neucom.2020.04.094
[25] Yuling Li, Yuhong Zhang, Kui Yu, Xuegang Hu. Adversarial training with Wasserstein distance for learning cross-lingual word embeddings. Applied Intelligence, accepted, 2020.
[26] Chaofan Liu, Shuai Yang, Kui Yu. Markov Boundary Learning With Streaming Data for Supervised Classification. IEEE Access 8: 102222-102234 (2020)
[27] Qiaoshuo Shi, Jinsong Shan, Wenjie Yan, Youxi Wu, Xindong Wu. NetNPG: Nonoverlapping pattern matching with general gap constraints. Appl. Intell. 50(6): 1832-1845 (2020).
[28] Youxi Wu, Jinquan Fan, Yan Li, Lei Guo, Xindong Wu. NetDAP: (δ, γ) -approximate pattern matching with length constraints. Appl. Intell. 50(11): 4094-4116 (2020).
[29] Huiting Liu, Huimin Liu, Qiang Ji, Peng Zhao, Xindong Wu. Collaborative deep recommendation with global and local item correlations. Neurocomputing 385: 278-291 (2020).
[30] Youxi Wu, Changrui Zhu, Yan Li, Lei Guo, Xindong Wu. NetNCSP: Nonoverlapping closed sequential pattern mining. Knowl. Based Syst. 196: 105812 (2020).
2019年
[1] Hao Wang, Zhaolong Ling, Kui Yu*, and Xindong Wu. Towards Efficient and Effective Discovery of Markov Blankets for Feature Selection. Information Sciences 509: 227?C242, 2020.
[2] Chenayng Bu, Wenjian Luo, Tao Zhu, Ruikang Yi, Bin Yang. Species and Memory Enhanced Differential Evolution for Optimal Power Flow Under Double-Sided Uncertainties. IEEE Transactions on Sustainable Computing. DOI: 10.1109/TSUSC.2019.2929811, in press, 2019.
[3] Zhaolong Ling, Kui Yu, and Hao Wang*, Liu Liu, Wei Ding, and Xindong Wu. BAMB: A Balanced Markov Blanket Discovery Approach to Feature Selection. ACM Transactions on Intelligent System and Technology, 10(5): 52, 2019.
[4] Kui Yu, Lin Liu, and Jiuyong Li. Learning Markov Blankets from Multiple Interventional Datasets. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), in press, DOI: 10.1109/TNNLS.2019.2927636, 2019.
[5] Kui Yu, Lin Liu, Jiuyong Li, Wei Ding, and Thuc Le. Multi-Source Causal Feature Selection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), DOI: 10.1109/TPAMI.2019.2908373, 2019.
[6] Kui Yu, Huanhuan Chen. Markov Boundary-Based Outlier Mining. IEEE Trans. Neural Netw. Learning Syst. 30(4): 1259-1264 (2019).
[7] Xinyu Wu, Bingbing Jiang, Kui Yu, Chunyan Miao, and Huanhuan Chen. Accurate Markov Boundary Discovery for Causal Feature Selection. IEEE Transactions on Cybernetics, in press, 2019.
[8] Jing Zhang, Xindong Wu. Multi-Label Truth Inference for Crowdsourcing Using Mixture Models. IEEE Transactions on Knowledge and Data Engineering. DOI: 10.1109/TKDE.2019.2951668, in press, 2019.
[9] Jipeng Qiang, Xindong Wu. Unsupervised Statistical Text Simplification. IEEE Transactions on Knowledge and Data Engineering. DOI: 10.1109/TKDE.2019.2947679, in press, 2019.
[10] Huiting Liu, Lili Wang, Peng Zhao, and Xindong Wu, Document Specific Supervised Keyphrase Extraction with Strong Semantic Relations, IEEE Access, accepted, to appear.
[11] Huan Wang, Jia Wu, Wenbin Hu, Xindong Wu, Detecting and Assessing Anomalous Evotionary Behaviors of Nodes in Evolving Social Networks, ACM Transactions on Knowledge Discovery from Data, accepted, to appear.
[12] Jipeng Qiang, Ping Chen, Wei Ding, Fei Xie and Xindong Wu. Heterogeneous-Length Text Topic Modeling for Reader-Aware Multi-Document Summarization. ACM Transactions on Knowledge Discovery from Data (TKDD), 13(4): 42:1-21, 2019.
[13] Minghui Wu and Xindong Wu, On Big Wisdom, Knowledge and Information Systems, 8(2019), 1: 1-8.
[14] Jing Yang, Na Li, Shuai Fang, Kui Yu. Semantic Features Prediction for Pulmonary Nodule Diagnosis based on Online Streaming Feature Selection. IEEE Access 7: 61121-61135 (2019).
[15] Lei Li, Fang Zhang, Zan Zhang*, Peipei Li, Chenyang Bu, Multi-Fuzzy-Objective Graph Pattern Matching in Big Graph Environments with Reliability, Trust and Social Relationship, World Wide Web Journal (WWWJ), 2019.
[16] Xuegang Hu, Wei He, Lei Li, Yaojin Lin, Huizong Li, Jianhan Pan: An efficient and fast algorithm for community detection based on node role analysis. Int. J. Machine Learning & Cybernetics 10(4): 641-654, 2019.
[17] Lei Li*, Yuqi Chu, Guanfeng Liu, Xindong Wu, Multi-objective Optimization-based Networked Multi-label Active Learning, Journal of Database Management (JDM), 30(2), 1-26, 2019.
[18] Guliu Liu, Lei Li*, and Xindong Wu, Multi-Fuzzy-Constrained Graph Pattern Matching with Big Graph Data, Intelligent Data Analysis (IDA), 24(4), 2020.
[19] Desheng Cai and Gongqing Wu*. Content-aware Attributed Entity Embedding for Synonymous Named Entity Discovery. Neurocomputing 329 (2019) 237-247.
[20] Peng Zhou, Xuegang Hu, Peipei Li, and Xindong Wu. Online Streaming Feature Selection using Adapted Neighborhood Rough Set. Information Sciences 481: 258-279, 2019.
[21] Peng Zhou, Xuegang Hu, Peipei Li, and Xindong Wu. OFS-Density: A Novel Online Streaming Feature Selection Method. Pattern Recognition, 86: 48-61, February 2019.
[22] Junwei Lv, Xuegang Hu, Lei Li, and Peipei Li. An Effective Confidence-Based Early Classification of Time Series. IEEE Access 7: 96113-96124 (2019)
[23] Shuai Yang, Yuhong Zhang, Yi Zhu, Peipei Li, and Xuegang Hu. Representation learning via serial autoencoders for domain adaptation. Neurocomputing 351: 1-9, 2019.
[24] Yi Zhu, Xindong Wu, Peipei Li, Yuhong Zhang, Xuegang Hu. Transfer learning with deep manifold regularized auto-encoders. Neurocomputing 369: 145-154, 2019.
[25] Yuhong Zhang, Shuai Yang, Peipei Li, Xuegang Hu, Hao Wang. Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification. IEEE Access 7: 143015-143024, 2019.
[26] Xiulin Zheng, Peipei Li*, Zhe Chu, Haixiang Zhang, and Xuegang Hu. A Survey on Multi-label Data Stream Classification. IEEE ACCESS, accepted, 2019.
[27] Gongqing Wu*, Huicheng Zhang, Ying He, Xianyu Bao, Lei Li, and Xuegang Hu. Learning Kullback-Leibler Divergence-Based Gaussian Model for Multivariate Time Series Classification. IEEE Access, 2019, 7(1): 139580-139591. DOI: 10.1109/ACCESS.2019.2943474.
[28] Shuai Yang, Hao Wang, Yuhong Zhang, Yi Zhu, Peipei Li, Xuegang Hu. Semi-supervised representation learning via dual autoencoders for domain adaptation. Knowledge-Based Systems, 2019. [Online]. Available: https://doi.org/10.1016/j.knosys.2019.105161.
2018年
[1] Gongqing Wu, Ying He, Xuegang Hu. Entity Linking: An Issue to Extract Corresponding Entity with Knowledge Base. IEEE Access, 2018, 6: 6220-6231, DOI:10.1109/ACCESS.2017.2787787.
[2] Desheng Cai, Gongqing Wu. Content-aware attributed entity embedding for synonymous named entity discovery. Neurocomputing, In Press, DOI: https://doi.org/10.1016/j.neucom.2018.10.055.
[3] Lei Li*, Chuan Zhou*, Jianping He, Jiamiao Wang, Xin Li, Xindong Wu, Collective Semantic Behavior Extraction in Social Networks, Journal of Computational Science, 28(2018), 236-244, 2018.
[4] Chuan Zhou, Wei-Xue Lu, Jingzun Zhang, Lei Li, Yue Hu, Li Guo, Early Detection of Dynamic Harmful Cascades in Large-scale Networks, Journal of Computational Science, 28(2018), 304-317, 2018.
[5] Peipei Li, Lu He, Haiyan Wang, Xuegang Hu, Yuhong Zhang*, Lei Li, Xindong Wu. Learning from Short Text Stream with Topic Drifts. IEEE Transactions on Cybernetics , 48(9), 2697-2711, 2018.
[6] Peipei Li, Haixun Wang, Hongsong Li, and Xindong Wu, Employing Semantic Context for Sparse Information Extraction Assessment, ACM Transactions on Knowledge Discovery from Data,12(5): 54:1-36, July 2018.
[7]Xuegang Hu, Peng Zhou, Peipei Li, Jing Wang, and Xindong Wu. A Survey on Online Feature Selection with Streaming Features. Frontiers of Computer Science, 12 (3): 479-493, May, 2018.
[8] Hao Wang, Xiaoling Huang, Lei Li, Microblog Oriented Interest Extraction with Both Content and Network Structure, Intelligent Data Analysis (IDA), 22(3), 515-532, 2018.
[9] Jiamiao Wang, Xindong Wu, Lei Li, A Framework for Semantic Connection based Topic Evolution with DeepWalk, Intelligent Data Analysis (IDA) , 22(1), 211-237, 2018.
[10] Na Liu, Xie Fei, and Xindong Wu . Multi-pattern matching with variable-length wildcards using suffix tree. Pattern Analysis and Applications, 21.4(2018):1151-1165.
[11]Huiting Liu, Lili Wang, Zhizhong Liua, Peng Zhao, Xindong Wu. Efficient pattern matching with periodical wildcards in uncertain sequences. Intelligent Data Analysis, 22: 829-842, June, 2018.
[12]Qingren Wang, Victor S. Sheng, and Xindong Wu. Document-Specific Keyphrase Candidate Search and Ranking. Expert Systems with Applications, 97: 163-176, 2018.
[13]Huiting Liu, Liangquan Yang, Chao Ling, and Xindong Wu. Collaborative Social Deep Learning for Celebrity Recommendation. Intelligent Data Analysis, 2018已录用
[14]Yuhong Zhang, Qinqin Wang, Yuling Li and Xindong Wu. Sentiment Classification Based on Piecewise Pooling Convolutional Neural Network. Computers, Materials & Continua, Vol.56,No.2,pp.285-297,2018.
2017年
[1]Peng Zhou, Xuegang Hu, Peipei Li, and Xindong Wu. Online Feature Selection for Class Imbalance Data. Knowledge-based Systems, 136: 187-199, 2017.
[2]Yuhong Zhang, Guang Chu, Peipei Li, Xuegang Hu, and Xindong Wu. Three-layer Concept Drifting Detection in Text Data Streams. Neurocomputing, 2017, 260: 393-403.
[3]Huanhuan Chen, Jun Liu, Jiamiao Wang, Xindong Wu, Lei Li, LDA-Based Topic Strength Analysis, Computing and Informatics (CAI), Vol. 32, 2016, 1001–1024.
[4]Gongqing Wu, Ruqian Lu, and Nanning Zheng, Knowledge Engineering with Big Data (BigKE): A 54-Month, 45-Million RMB, 15-Institution National Grand Project, IEEE Access, 5: 12696 – 12701, 2017.
[5]Zhongpei Wang, Hao Wang, Jieqing Tan, Peng Chen, Chengjun Xie. Robust object tracking via multi-scale patch based sparse coding histogram. Multimedia Tools and Applications, 76(10): 12181-12203, May 1, 2017.
2016年
[1] Lei Li, Jianping He, Meng Wang, Xindong Wu: Trust Agent-Based Behavior Induction in Social Networks. IEEE Intelligent Systems 31(1): 24-30 (2016).
[2] Huawen Liu, Xindong Wu, Shichao Zhang: Neighbor selection for multilabel classification. Neurocomputing 182: 187-196 (2016).
[3] Gong-Qing Wu, Lei Li, Li Li, Xindong Wu: Web News Extraction via Tag Path Feature Fusion Using DS Theory. J. Comput. Sci. Technol. 31(4): 661-672 (2016).
[4] Jipeng Qiang, Ping Chen, Wei Ding, Fei Xie, Xindong Wu: Multi-document summarization using closed patterns. Knowl.-Based Syst. 99: 28-38 (2016).
[5] Zhong-Qiu Zhao, Yiu-ming Cheung, Haibo Hu, Xindong Wu: Corrupted and occluded face recognition via cooperative sparse representation. Pattern Recognition 56: 77-87 (2016).
[6] Jing Zhang, Victor S. Sheng, Jian Wu, Xindong Wu: Multi-Class Ground Truth Inference in Crowdsourcing with Clustering. IEEE Trans. Knowl. Data Eng. 28(4): 1080-1085 (2016).
[7] Meng Wang, Weijie Fu, Shijie Hao, Dacheng Tao, Xindong Wu: Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization. IEEE Trans. Knowl. Data Eng. 28(7): 1864-1877 (2016).
[8] Mei Bai, Junchang Xin, Guoren Wang, Luming Zhang, Roger Zimmermann, Ye Yuan, Xindong Wu: Discovering the k Representative Skyline Over a Sliding Window. IEEE Trans. Knowl. Data Eng. 28(8): 2041-2056 (2016).
[9] Jun Zhang, Meng Wang, Shengping Zhang, Xuelong Li, Xindong Wu: Spatiochromatic Context Modeling for Color Saliency Analysis. IEEE Trans. Neural Netw. Learning Syst. 27(6): 1177-1189 (2016).
[10] Hao Wang, Yuanyuan Fan, and Baofu Fang. Generalized Linear Discriminant Analysis based on Euclidean Norm for Gait Recognition. Springer Nature, (2016).
2015年
[1] Donghui Hu, Bin Su, Shuli Zheng, Zhong-Qiu Zhao, Xintao Wu, Xindong Wu. Security and privacy protocols for perceptual image hashing. IJSNet 17(3): 146-162 , 2015.
[2] Huawen Liu, Zongjie Ma, Shichao Zhang, Xindong Wu. Penalized partial least square discriminant analysis with l1 for multi-label data. Pattern Recognition 48(5): 1724-1733 , 2015.
[3] Jifeng Xuan, He Jiang, Yan Hu, Zhilei Ren, Weiqin Zou, Zhongxuan Luo, Xindong Wu. Towards Effective Bug Triage with Software Data Reduction Techniques. IEEE Trans. Knowl. Data Eng. 27(1): 264-280 , 2015.
[4] Jing Zhang, Xindong Wu, Victor S. Sheng. Active Learning With Imbalanced Multiple Noisy Labeling. IEEE T. Cybernetics 45(5). 1081-1093 , 2015.
[5] Jing Zhang, Xindong Wu, Victor S. Sheng. Imbalanced Multiple Noisy Labeling. IEEE Trans. Knowl. Data Eng. 27(2): 489-503 , 2015.
[6] Jing Wang, Meng Wang, Xuegang Hu, Shuicheng Yan. Image Denoising with a Unified Schattern-p Norm and ℓq Norm Regularization. Pattern Recognition. doi:http://dx.doi.org/ 10.1016/ j.patcog.2015.01.024i., 2014.
[7] Lei Li,Yan Wang,Guanfeng Liu, Meng Wang, Xindong Wu, Context-aware Reviewer Assignment for Trust Enhanced Peer Review, PLoS ONE , e0130493, 2015.
[8] Kui Yu, Wei Ding, Dan A. Simovici, Hao Wang, Jian Pei, Xindong Wu. Classification with Streaming Features. An Emerging-Pattern Mining Approach. TKDD 9(4): 30 , 2015.
[9] Guanfeng Liu, An Liu, Yan Wang, and Lei Li. SoTrust: A Strong Social Graph Aware Trust Paths Finding for Trustworthy Service Provider Selection in Contextual Social Networks,International Journal of Web Services Research (JWSR), 2015.
[10] Pei-Pei Li, Xindong Wu, Xuegang Hu, Hao Wang. Learning concept-drifting data streams with random ensemble decision trees. Neurocomputing 166: 68-83, 2015.
[11] Yan Wang, Lei Li, Guanfeng Liu. Social Context-Aware Trust Inference for Trust Enhancement in Social Network based Recommendations on Service Providers, World Wide Web Journal (WWWJ), 2015.
[12] Youxi Wu, Shuai Fu, He Jiang, Xindong Wu. Strict approximate pattern matching with general gaps. Appl. Intell. 42(3): 566-580, 2015.
[13] Yuhong Zhang, Xuegang Hu, Peipei Li, Lei Li, Xindong Wu. Cross-Domain Sentiment Classification--Feature Divergence, Polarity Divergence or Both? Pattern Recognition Letters, 2015.
[14] Yusheng Cheng, Wenfa Zhan, Xindong Wu, Yuzhou Zhang. Automatic determination about precision parameter value based on inclusion degree with variable precision rough set model. Inf. Sci. 290: 72-85 , 2015.
[15] Yuqiang Fang, Ruili Wang, Bin Dai, Xindong Wu. Graph-Based Learning via Auto-Grouped Sparse Regularization and Kernelized Extension. IEEE Trans. Knowl. Data Eng. 27(1): 142-154 , 2015.
[16] Zhenyu Lu, Xindong Wu, Josh C. Bongard. Active Learning through Adaptive Heterogeneous Ensembling. IEEE Trans. Knowl. Data Eng. 27(2): 368-381 , 2015.
Zhong-Qiu Zhao, Lin-Hai Ma, Yiu-ming Cheung, Xindong Wu, Yuan Yan Tang, Chun Lung Philip Chen. ApLeaf. An efficient android-based plant leaf identification system. Neurocomputing 151: 1112-1119, 2015.
2014年
[1] Ahmed Abdeen Hamed, Xindong Wu, Alan Rubin. A twitter recruitment intelligent system: association rule mining for smoking cessation. Social Netw. Analys. Mining 4(1): 212 , 2014.
[2] Chunxia Zhang, Xindong Wu, Zhendong Niu, Wei Ding. Authorship identification from unstructured texts. Knowl.-Based Syst. 66: 99-111 , 2014.
[3] Lei Zhang, Yao Zhao, Zhenfeng Zhu, Shikui Wei, Xindong Wu. Mining Semantically Consistent Patterns for Cross-View Data. IEEE Trans. Knowl. Data Eng. 26(11): 2745-2758 , 2014.
[4] Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu. Knowledge reduction for decision tables with attribute value taxonomies. Knowl.-Based Syst. 56: 68-78 , 2014.
[5] Xindong Wu, Jipeng Qiang, Fei Xie. Pattern Matching with Flexible Wildcards. J. Comput. Sci. Technol. 29(5): 740-750 , 2014.
[6] Yue Gao, Meng Wang, Rongrong Ji, Xindong Wu, Qionghai Dai. 3-D Object Retrieval With Hausdorff Distance Learning. IEEE Transactions on Industrial Electronics, 2014, 61(4): 2088-2098.
[7] Jie Gui, Zhenan Sun, Jun Cheng, Shuiwang Ji, and Xindong Wu. How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and Its Kernel Version? IEEE Transactions on Circuits and Systems for Video Technology, 2014, 24(2): 211-223.
[8] Richang Hong, Jianxin Pan, Shijie Hao, Meng Wang, Feng Xue, Xindong Wu. Image quality assessment based on matching pursuit. Informatin Sciences, 2014, 273: 196-211.
[9] Richang Hong, Meng Wang, Yue Gao, Dacheng Tao, Xuelong Li, and Xindong Wu. Image Annotation By Multiple-Instance Learning With Discriminative Feature Mapping and Selection. IEEE Transactions on Cybernetics, 2014, 44(5): 669-680.
[10] Faliang Huang, Shichao Zhang, Minghua He, Xindong Wu. Clustering Web Documents Using Hierarchical Representation with Multi-Granularity. World Wide Web, 2014, 17(1): 105-126.
[11] He Jiang, Jifeng Xuan, Zhilei Ren, Youxi Wu, Xindong Wu. Misleading classification. Science China: Information Sciences, 2014, 57(5): 1-17.
[12] Xiaomei Li, Xindong Wu, Gongqing Wu. Robust Feature Generation for Protein Subchloroplast Location Prediction with a Weighted GO Transfer Model. Journal of Theoretical Biology, 2014, 347: 84-94.
[13] Yaojin Lin, Xuegang Hu, and Xindong Wu. Quality of Information-Based Source Assessment and Selection. Neurocomputing, 2014, 133: 95-102.
[14] Yaojin Lin, Xugang Hu, Xindong Wu. Ensemble Learning from Multiple Information Sources via Label Propagation and Consensus. Applied Intelligence, 2014, 41(1): 30-41.
[15] Huawen Liu, Shichao Zhang, Xindong Wu. MLSLR: Multilabel Learning via Sparse Logistic Regression, Information Sciences, 2014, 281: 310-320.
[16] Huawen Liu, Xindong Wu, Shichao Zhang. A New Supervised Feature Selection Method for Pattern Classification. Computational Intelligence, 2014, 30(2): 342-361.
[17] Yingling Liu, Xindong Wu, Xuegang Hu, Jun Gao. A Matching Algorithm in PMWL based on CluTree. New Generation Computing, 2014, 32(2): 95-122.
[18] Xindong Wu, Xingquan Zhu, Gongqing Wu, Wei Ding. Data Mining with Big Data. IEEE Transactions on Knowledge and Data Engineering, 2014, 26(1): 97-107.
[19] Youxi Wu, Lingling Wang, Jiadong Ren, Wei Ding, Xindong Wu. Mining Sequential Patterns with Periodic Wildcard Gaps. Applied Intelligence, 2014, 41(1): 99-116.
[20] Zhongqiu Zhao, Xindong Wu, Canyi Lu, Herve Glotin, Jun Gao. Optimizing Widths with PSO for Center Selection of Gaussian Radial Basis Function Networks. Science China: Information Sciences, 2014, 57(5): 1-17.
2013年
[1] Qiang Chen, Meng Wang, Zhongyang Huang, Yang Hua, Zheng Song, Shuicheng Yan. VideoPuzzle: Descriptive One-Shot Video Composition. IEEE Transactions on Multimedia, 2013, 15(3): 521-534.
[2] Yue Gao, Meng Wang, Zheng-Jun Zha, Jialie Shen, Xuelong Li, Xindong Wu. Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search. IEEE Transactions on Image Processing, 2013, 22(1):263-376.
[3] Dan Guo, Xuegang Hu, Fei Xie, and Xindong Wu. Pattern matching with wildcards and gap-length constraints based on a centrality-degree graph. Applied Intelligence, 2013, 39(1): 57-74.
[4] Richang Hong, Zhengjun Zha, Yue Gao, Tat-Seng Chua, Xindong Wu. Multimedia Encyclopedia Construction by Mining Web Knowledge. Signal Processing, 2013, 93(8): 2361-2368.
[5] He Jiang, Zhilei Ren, Jifeng Xuan, Xindong Wu. Extracting elite pairwise constraints for clustering. Neurocomputing, 2013, 99:124-133.
[6] Haiguang Li, Zhao Li, Robert T. White, Xindong Wu. A real-time transportation prediction system. Applied Intelligence, 2013, 39(4):793-804.
[7] Haiguang Li, Xindong Wu, Zhao Li, Gongqing Wu. A relation extraction method of Chinese named entities based on location and semantic features. Applied Intelligence 2013, 38(1): 1-15.
[8] Peng Li, Meng Wang, Jian Cheng, Changsheng Xu, Hanqing Lu. Spectral Hashing with Semantically Consistent Graph for Image Indexing. IEEE Transactions on Multimedia, 2013, 15(1): 141-152.
[9] Yaojin Lin, Xuegang Hu, Xiaomei Li, and Xindong Wu. Mining stable patternsin multiple correlated databases. Decision Support Systems, 2013, 56: 202-210.
[10] Bingbing Ni, Mengdi Xu, Jia Shi, Meng Wang, Shuicheng Yan, Qi Tian. Learning to Photograph: a Compositional Perspective. IEEE Transactions on Multimedia, 2013, 15(5): 1138-1151.
[11] Bingbing Ni, Bing Chen, Meng Wang, Shuicheng Yan, and Qi Tian. High-Order Local Spatial Context Modeling by Spatialized Random Forest. IEEE Transactions on Image Processing, 2013, 22(2): 739-751.
[12] Liqiang Nie, Meng Wang, Yue Gao, Zhenjun Zha, Tatseng Chua. BeyondText QA: Multimedia Answer Generation by Harvesting Web Information. IEEE Transactions on Multimedia, 2013, 15(2): 426-441.
[13] Meng Wang, Yue Gao, Ke Lu, and Yong Rui. View-Based Discriminative Probabilistic modeling for 3D Object Retrieval and Recognition. IEEE Transactions on Image Processing, 2013, 22(4): 1395-1407.
[14] Meng Wang, Guangda Li, Zheng Lu, Yue Gao, Tat-Seng Chua. When Amazon Meets Google: Product Visualization by Exploring Multiple Information Sources. ACM Transactions on Internet Technology, 2013, 12(4): Article 12.
[15] Xindong Wu, Kui Yu, Wei Ding, Hao Wang, Xinquan Zhu. Online Feature Selection with Streaming Features. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(5): 1178-1192.
[16] Xindong Wu, Xingquan Zhu, Yu He, Abdullah N. Arslan. PMBC: Pattern mining from biological sequences with wildcard constraints. Computers in Biology and Medicine, 2013, 43(5): 481-492.
[17] Fei Xie, Xindong Wu, Xuegang Hu, Jun Gao, Dan Guo, Yulian Fei, Ertian Hua. MAIL: Mining Sequential Patterns with Wildcards. International Journal of Data Mining and Bioinformatics, 2013, 8(1): 1-23.
[18] Mingquan Ye, Xindong Wu, Xuegang Hu, Donghui Hu. Multi-level rough set reduction for decision rule mining. Applied Intelligence, 2013, 39(3): 642-658.
[19] Kui Yu, Wei Ding, Hao Wang, Xindong Wu. Bridging Causal Relevance and Pattern Discriminability: Mining Emerging Patterns from High-Dimensional Data. IEEE Transactions on Knowedge and Data Engineering, 2013, 25(12): 2721-2739.
[20] Zhengjun Zha, Hanwang Zhang, Meng Wang, Huanbo Luan, Tatseng Chua. Detecting Group Activities with Multi-Camera Context. IEEE Transactions on Circuits and Systems for Video Technology, 2013, 23(5): 856-869.
2012年
[1] Baofu Fang, Qishu Pan, Bingrong Hong, Songhao Piao, Zesu Cai, Lei Ding. A Hierarchical Approach Based on Fast Marching Method in Multi Player Pursuit-Evasion Game.Chinese Journal of Electronics, 2012, 21(1):59-63.
[2] Yue Gao, Meng Wang, Dacheng Tao, Rongrong Ji, Qionghai Dai. 3D Object Retrieval and Recognition with Hypergraph Analysis. IEEE Transactions on Image Processing, 2012, 21(9): 4290-4303.
[3] Richang Hong, Meng Wang, Guangda Li, Zhengjun Zha, Tatseng Chua. Multimedia Question Answering. IEEE Multimedia, 2012, 19(4): 72-78.
[4] Guangda Li, Meng Wang, Zheng Lu, Richang Hong, Tatseng Chua. In-Video Product Annotation with Web Information Mining. ACM Transactions on Multimedia Computing, Communications, and Applications, 2012, 8(4): 1-19, 2012.
[5] Peipei Li, Xindong Wu, Xuegang Hu. Mining Recurring Concept Drifts with Limited Labeled Streaming Data. ACM Transactions on Intelligent Systems and Technology, 2012, 3(2): Article 29.
[6] Zhisheng Li, Xiangye Xiao, Meng Wang, Chong Wang, Xufa Wang, Xing Xie. Towards the Automatic Categorization of Yellow Pages Queries. ACM Transactions on Internet Technology, 2012, 11(4): 16-42.
[7] Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoffrey J. McLachlan, Jian Pei, Ashok Srivastava, Osmar R. Zaïane: Top-10 Data Mining Case Studies. International Journal of Information Technology and Decision Making, 2012, 11(2): 389-400.
[8] Liqiang Nie, Meng Wang, Zhengjun Zha, Tatseng Chua. Oracle in Image Search: A Content-Based Approach to Performance Prediction. ACM Transactions on Information Systems, 2012, 30(2): 1-23.
[9] Meng Wang, Richang Hong, Guangda Li, Zheng-Jun Zha, Shuicheng Yan, Tatseng Chua. Event Driven Web Video Summarization by Tag Localization and Key-Shot Identification. IEEE Transactions on Multimedia, 2012, 14(4): 975-985.
[10] Meng Wang, Richang Hong, Xiaotong Yuan, Shuicheng Yan, Tatseng Chua. Movie2Comics: Towards a Lively Video Content Presentation. IEEE Transactions on Multimedia, 2012, 14(3) 858-870.
[11] Meng Wang, Hao Li, Dacheng Tao, Ke Lu, Xindong Wu. Multimodal Graph-Based Reranking for Web Image Search. IEEE Transactions on Image Processing, 2012, 21(11): 4649-4661.
[12] Meng Wang, Bingbing Ni, Xiansheng Hua, Tatseng Chua. Assistive Tagging: A Survey of Multimedia Tagging with Human-Computer Joint Exploration. ACM Computing Surveys, 2012, 4(4): Article 25.
[13] Xindong Wu, Peipei Li, Xuegang Hu. Learning from Concept Drifting Data Streams with Unlabeled Data. Neuro-Computing, 2012, 92(1): 145-155.
[14] Kui Yu, Xindong Wu, Wei Ding, Hao Wang. Exploring Causal Relationships with Streaming Features. The Computer Journal, 2012, 55(9): 1103-1117.
[15] Jun Yu, Dacheng Tao, Meng Wang. Adaptive Hypergraph Learning and its Application in Image Classification. IEEE Transactions on Image Processing, 2012, 21(7): 3262-3272.
[16] Jun Yu, Meng Wang, and Dacheng Tao. Semi-Supervised Multiview Distance Metric Learning for Cartoon Synthesis. IEEE Transactions on Image Processing, 2012, 21(11): 4636-4648.
[17] Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang, Ruili Wang. Mining bridging rules between conceptual clusters. Applied Intelligence, 2012, 36(1): 108-118.
[18] Zhengjun Zha, Meng Wang, Yantao Zheng, Yi Yang, Richang Hong, Tatseng Chua. Interactive Video Indexing with Statistical Active Learning. IEEE Transactions on Multimedia, 2012, 14(1): 17-27.
[19] Zhongqiu Zhao, Herve Glotin, Zhao Xie, Jun Gao, Xindong Wu. Cooperative Sparse Representation in Two Opposite Directions for Semi-supervised Image Annotation. IEEE Transactions on Image Processing, 2012, 21(9): 4218 - 4231.
[20] Tianyi Zhou, Dacheng Tao, Xindong Wu. Compressed Labeling on Distilled Labelsets for Multi-label Learning. Machine Learning, 88(2012), 1: 69-126.
2011年
[1] Tianyu Cao, Xindong Wu, Song Wang, Xiaohua Hu. Maximizing influence spread in modular social networks by optimal resource allocation. Expert Systtem Applications, 2011, 38(10): 13128-13135.
[2] Wei Ding, Tomasz F. Stepinski, Yang Mu, Lourenco P.C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao, Xindong Wu. Subkilometer crater discovery with boosting and transfer learning. ACM Transactions on Intelligent Systems and Technology, 2011, 2(4): Article 39.
[3] Dan Guo, Xiaoli Hong, Xuegang Hu, Jun Gao, Yingling Liu, Gongqing Wu, Xindong Wu. A Bit-Parallel Algorithm for Sequential Pattern Matching with Wildcards. Cybernetics and Systems, 2011, 42(6): 382-401.
[4] Dan He, Xingquan Zhu, Xindong Wu. Mining Approximate Repeating Patterns from Sequence Data with Gap Constraints. Computational Intelligence, 2011, 27(3): 336-362.
[5] Qianhui Liang, Xindong Wu, E.K. Park, Taghi M. Khoshgoftaar, and Chi-Hung Chi. Ontology-based Business Process Customization for Composite Web Services. IEEE Transactions on Systems, Man and Cybernetics, Part A, 2011, 41(4): 717-729.
[6] Yongguo Liu, Xindong Wu, Yi-Dong Shen. Automatic clustering using genetic algorithms. Applied Mathematics and Computation, 2011, 218(4): 1267-1279.
[7] Lina Wang, Xiaqiu Jiang, Shiguo Lian, and Donghui Hu. Image Authentication based on Perceptual Hash using Gabor Filters. Soft Computing, 2011, 15(3): 493-504.
[8] Bo Yang, Songcan Chen, Xindong Wu. A structurally motivated framework for discriminant analysis. Pattern Analysis and Applications, 2011, 14(4): 349-367.
[9] Peng Zhang, Xingquan Zhu, Yong Shi, Li Guo, and Xindong Wu. Robust Ensemble Learning for Mining Noisy Data Streams. Decision Support Systems, 2011, 50(2): 469-479.
[10] Shichao Zhang, Xindong Wu. Fundamentals of association rules in data mining and knowledge discovery. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery , 2011, 1(2): 97-116.
[11] Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bond. Corrective classification: Learning from data imperfections with aggressive and diverse classifier ensembling. Information Sysems, 2011, 36(8): 1135-1157.
[12] Tianyi Zhou, Dacheng Tao, Xindong Wu. Manifold elastic net: a unified framework for sparse dimension reduction. Data Mining and Knowledge Discovery, 2011, 22(3): 340-371.
[13] Xingquan Zhu, Bin Li, Xindong Wu, Dan He, Chengqi Zhang. CLAP: Collaborative pattern mining for distributed information systems. Decision Support Systems, 2011, 52(1): 40-51.
2010年
[1] Peipei Li, Xindong Wu, Xuegang Hu, Qianhui Liang, and Yunjun Gao. A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams. Applied Artificial Intelligence, 2010, 24(7): 680-710.
[2] Zhao Li, Xindong Wu, Hong Peng. Nonnegative Matrix Factorization on Orthogonal Subspace. Pattern Recognition Letters, 2010, 31(9): 905-911.
[3] Zhaopin Su, Jianguo Jiang, Shiguo Lian, Guofu Zhang, Donghui Hu. Hierarchical Selective Encryption for G.729 Speech based on Bit Sensitivity. Journal of Internet Technology, 2010, 11(5): 599-607.
[4] Daniel Duanqing Wu, Xiaohua Hu, E. K. Park, Xiaofeng Wang, Jiali Feng, Xindong Wu. Exploratory analysis of protein translation regulatory networks using hierarchical random graphs. BMC Bioinformatics, 2010, 11(S-3): Article 2.
[5] Xindong Wu, Gongqing Wu, Fei Xie, Zhu Zhu, Xuegang Hu, Hao Lu, Huiqian Li. News Filtering and Summarization on the Web. IEEE Intelligent Systems, 2010, 25(5):68-76.
[6] Yan Zhang and Xindong Wu. Integrating Induction and Deduction for Noisy Data Mining. Information Sciences, 2010, 180: 2663-2673.
[7] Zhongqiu Zhao, Jun Gao, Herve Glotin, and Xindong Wu. A Matrix Modular Neural Network Based on Task Decomposition with Subspace Division by Adaptive Affinity Propagation Clustering. Applied Mathematical Modelling, 2010, 34: 3884-3895.
[8] Zhongqiu Zhao, Junzhao Li, Jun Gao, Xindong Wu. A Modified Semi-Supervised Learning Algorithm on Laplacian Eigenmaps. Neural Processing Letters, 2010, 32(1), 76-82.
2009年
[1] Qianhui Liang, Xindong Wu, and Hoong Chuin Lau. Optimizing Service Systems based on Application-Level QoS. IEEE Transactions on Services Computing, 2009, 2(2): 108-121.
[2] Dacheng Tao, Xuelong Li, Xindong Wu, and Steve Maybank. Geometric Mean for Subspace Selection in Multiclass Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009, 31(2): 260-274.
[3] Zhao Xie, Jun Gao, Xindong Wu. Regional Category Parsing in Undirected Graphical Models. Pattern Recognition Letters, 2009, 30(14): 1264-1272.
[4] Shichao Zhang, Xiaofang You, Zhi Jin, Xindong Wu. Mining Globally Interesting Patterns from Multiple Databases Using Kernel Estimation. Expert Systems with Applications, 2009, 36(8): 10863-10869.
[5] Zili Zhang, Pengyi Yang, Xindong Wu, Chengqi Zhang. An Agent-Based Hybrid System for Microarray Data Analysis. IEEE Intelligent Systems, 2009, 24(5): 53-63.
[6] Zhongqiu Zhao. A Novel Modular Neural Network for Imbalanced Classification Problems. Pattern Recognition Letters, 2009, 30(9): 783-788.
2008年及以前
[1] Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank. Tensor Rank One Discriminant Analysis - A convergent method for discriminative multilinear subspace selection. Neurocomputing, 2008, 71(10-12):1866-1882.
[2] Dacheng Tao, Mingli Song, Xuelong Li, Jialie Shen, Jimeng Sun, Xindong Wu, Christos Faloutsos, Stephen J. Maybank. Bayesian Tensor Approach for 3-D Face Modeling. IEEE Transactions on Circuits and Systems for Video Technology, 2008 18(10): 1397-1410.
[3] Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng,Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael Steinbach, David J. Hand, Dan Steinberg. Top 10 algorithms in data mining. Knowledge and Information Systems, 2008, 14(1):1-37.
[4] Xindong Wu, Xingquan Zhu. Mining with Noise Knowledge: Error-Aware Data Mining. IEEE Transactions on Systems, Man and Cybernetics, Part A, 2008, 38(4): 917-932.
[5] Ying Yang, Xindong Wu, Xingquan Zhu. Conceptual equivalence for contrast mining in classification learning. Data and Knowledge Engineering, 2008, 67(3):413-429.
[6] Shichao Zhang, Xindong Wu, Chengqi Zhang, Jingli Lu. Computing the minimum-support for mining frequent patterns. Knowledge and Information Systems, 2008, 15(2): 233-257.
[7] Gong Chen, Xindong Wu, Xingquan Zhu. Mining Sequential Patterns across Time Sequences. New Generation Computing, 2007, 26(1): 75-96.
[8] Jun Gao, Zhao Xie, Xindong Wu. Generic object recognition with regional statistical models and layer joint boosting. Pattern Recognition Letters, 2007, 28(16): 2227-2237.
[9] Xuegang Hu, Pei-Pei Li, Xindong Wu, Gongqing Wu: A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams. Journal of Computer Science and Technology, 2007, 22(5): 711-724.
[10] Guojun Mao, Xindong Wu, Xingquan Zhu, Gong Chen, Chunnian Liu. Mining maximal frequent itemsets from data streams. Information Science, 2007, 33(3): 251-262.
[11] Dacheng Tao, Xuelong Li, Xindong Wu, Weiming Hu, Stephen J. Maybank. Supervised tensor learning. Knowledge and Information Sysems, 2007, 13(1): 1-42.
[12] Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank. General Tensor Discriminant Analysis and Gabor Features for Gait Recognition. IEEE Transactions on Pattern Analysis and Machine Inteligence, 2007, 29(10): 1700-1715.
[13] Feng Xue, Yousheng Zhang, Julang Jiang, Min Hu, Xindong Wu, Ronggui Wang. Real-time Texture Synthesis Using s-Tile Set. Journal of Computer Science and Technology, 2007, 22(4): 590-596.
[14] Zhongqiu Zhao, Deshuang Huang, Wei Jia. Palmprint Recognition with 2DPCA+PCA Based on Modular Neural Networks. Neurocomputing, 2007, 71(1-3): 448-454.
[15] Gong Chen, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan, Yu He. Efficient string matching with wildcards and length constraints. Knowledge and Information Systems, 2006, 10(4): 399-419.
[16] Kaile Su, Huijing Huang, Xindong Wu, Shichao Zhang. A logical framework for identifying quality knowledge from different data sources. Decision Support Systems, 2006, 42(3): 1673-1683.
[17] Dacheng Tao, Xiaoou Tang, Xuelong Li, Xindong Wu. Asymmetric Bagging and Random Subspace for Support Vector Machines-Based Relevance Feedback in Image Retrieval. IEEE Transactions on Pattern Anaysis and Machine Intelligence, 2006, 28(7): 1088-1099.
[18] Ying Yang, Xindong Wu, Xingquan Zhu. Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams. Data Mining and Knowedge Discovery, 2006, 13(3): 261-289.
[19] Qiang Yang, Xindong Wu. 10 Challenging Problems in Data Mining Research. International Journal of Information Technology and Decision Making, 2006, 5(4): 597-604.
[20] Xingquan Zhu, Xindong Wu. Class Noise Handling for Effective Cost-Sensitive Learning by Cost-Guided Iterative Classification Filtering. IEEE Tranactions on Knowledge and Data Engineering, 2006, 18(10): 1435-1440.
[21] Xingquan Zhu, Xindong Wu, Qijun Chen. Bridging Local and Global Data Cleansing. Identifying Class Noise in Large, Distributed Data Datasets. Data Mining and Knowedge Discovery, 2006, 12(2-3): 275-308.
[22] Xingquan Zhu, Xindong Wu, Ying Yang. Effective classification of noisy data streams with attribute-oriented dynamic classifier selection. Knowledge and Information Systems, 2006, 9(3): 339-363.