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[1]J. Zhang, S. Wang, L.Chen(³ÂÀè·É), P. Gallinari, Multiple Bayesian discriminant functions for high-dimensional massive data classification. Data Mining and Knowledge Discovery, 2017, 31(2):465-501.[2]L.Chen(³ÂÀè·É), S.?Wang,K.?Wang, J. Zhu,?Soft subspace clustering of categorical data with probabilistic distance. Pattern Recognition, 2016, 51:322-332. [3]L.Chen(³ÂÀè·É), Y.?Ye, G.?Guo, J. Zhu,?Kernel-based linear classification on categorical data, Soft Computing, 2016, 20(8): 2981-2993.[4]Y. Fan, Y. Ye,L.Chen(³ÂÀè·É),?Malicious sequential pattern mining for automatic malware detection, Expert Systems With Applications, 2016, 52:16-25.[5]G.?Guo,L.Chen(³ÂÀè·É), Y.?Ye, Q.?Jiang. Cluster validation method for determining the number of clusters in categorical sequences, IEEE Transactions on Neural Networks and Learning Systems, 2016, DOI: 10.1109/TNNLS.2016.**[6]L.Chen(³ÂÀè·É),?A probabilistic framework for optimizing projected clusters with categorical attributes. Science China Information Sciences, 2015, 58: 072104(15).[7]L.Chen(³ÂÀè·É),?EM-type method for measuring graph dissimilarity. International Journal of Machine Learning and Cybernetics, 2014, 5(4): 625-633.[8]J.?Zhang, L.Chen(³ÂÀè·É), G.?Guo. Projected-prototype-based classifier for text categorization. KnowledgeBased Systems, 2013, 49: 179-189.[9]³ÂÀè·É, ¹ù¹ªµÂ. ÊôÐÔ¼ÓȨµÄÀàÊôÐÍÊý¾Ý·ÇÄ£¾ÛÀà. Èí¼þѧ±¨, 2013, 24(11):2628-2641.[10]L.Chen(³ÂÀè·É), Q.Jiang, S.?Wang,?Model-based method for projective clustering,IEEE Transactions on Knowledge and Data Engineering,?2012. 24(7):1291-1305.´ú±íÐÔ»áÒéÂÛÎÄ[1]J. Zhang, L.Chen(³ÂÀè·É), A.?Vanasse, J. Courteau, S. Wang,?Survival prediction by an integrated learning criterion on intermittently varying healthcare data. In: Proceedings of the 30th?AAAI Conference on Artificial Intelligence (AAAI),2016, pp.72-78. [2]J. Zhang, S.?Wang, J.?Courteau, L.Chen(³ÂÀè·É), A.?Vanasse,?Predicting COPD failure by modeling hazard in longitudinal clinical data. In: Proceedings of the 16th?IEEE International Conference on Data Mining (ICDM),?2016, pp.639-648[3]L.Chen(³ÂÀè·É), S. Wang, Central clustering of categorical data with automated feature weighting. In: Proceedings of the 23rd?International Joint Conference on Artificial Intelligence (IJCAI), 2013, pp.1260-1266. [4]L.Chen(³ÂÀè·É), S. Wang. Automated feature weighting in naive Bayes for high-dimensional data classification. In: Proceedings of the 21st?ACM Conference on Information and Knowledge Management (CIKM), 2012, pp.1243-1252[5]L.Chen(³ÂÀè·É), S. Wang, X. Yan. Centroid-based clustering for graph datasets. In: Proceedings of the 21st?International Conference on Pattern Recognition (ICPR), 2012, pp.2144-2147.
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