H. Liu, X. Yin, J. Han, “An Efficient Multi-relational Na?ve Bayesian Classifier Based on Semantic Relationship Graphs”, in Proc. 2005 ACM-SIGKDD Workshop on Multi-Relational Data Mining (KDD/MRDM'05), Chicago, IL, Aug. 2005.
J. Yang, X. Yan, J. Han, and W. Wang, “Discovering Evolutionary Classifier over High Speed Non-Static Stream”, in S. Bandyopadhyay et al. (eds.), Advanced Methods for Knowledge Discovery from Complex Data, Springer Verlag, 2005.
数据挖掘实验室
J. Han, J. Pei, and X. Yan, “Sequential Pattern Mining by Pattern-Growth: Principles and Extensions”, in W. W. Chu and T. Y. Lin (eds.), Recent Advances in Data Mining and Granular Computing (Mathematical Aspects of Knowledge Discovery), Springer Verlag, 2005.
数据挖掘工具
J. Wang, J. Han, Y. Lu, and P. Tzvetkov, “TFP: An Efficient Algorithm for Mining Top-K Frequent Closed Itemsets”, IEEE Transactions on Knowledge and Data Engineering}, 17(5):652-664, 2005. 数据挖掘实验室
C. Liu, X. Yan, L. Fei, J. Han, and S. Midkiff, “SOBER: Statistical Model-based Bug Localization”, in Proc. 2005 ACM SIGSOFT Symp. on the Foundations of Software Engineering (FSE 2005), Lisbon, Portugal, Sept. 2005.
数据挖掘研究院
D. Xin, J. Han, X. Yan and H. Cheng, “Mining Compressed Frequent-Pattern Sets”, in Proc. 2005 Int. Conf. on Very Large Data Bases (VLDB'05), Trondheim, Norway, Aug. 2005. 数据挖掘研究院
X. Yan, H. Cheng, J. Han, and D. Xin, “Summarizing Itemset Patterns: A Profile-Based Approach”, in Proc. 2005 Int. Conf. on Knowledge Discovery and Data Mining (KDD'05), Chicago, IL, Aug. 2005. (Best Student Paper Runner-Up Award) 数据挖掘论坛
X. Yan, X. J. Zhou, and J. Han, “Mining Closed Relational Graphs with Connectivity Constraints”, Proc. 2005 Int. Conf. on Knowledge Discovery and Data Mining (KDD'05), Chicago, IL, Aug. 2005.
