Yang Wang - RankMe

14 papers A* 2Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2009	—	`ch.`	Pattern Discovery as Event Association. Encyclopedia of Data Warehousing and Mining Andrew K. C. Wong, Yang Wang, Gary C. L. Li
2007	J	`jnl`	Correction to "Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data". IEEE ACM Trans. Comput. Biol. Bioinform. Wai-Ho Au, Keith C. C. Chan, Andrew K. C. Wong, Yang Wang
2007	J	`jnl`	Cost-sensitive boosting for classification of imbalanced data. Pattern Recognit. Yanmin Sun, Mohamed S. Kamel, Andrew K. C. Wong, Yang Wang
2007	J	`jnl`	Generative and Discriminative Learning by CL-Net. IEEE Trans. Syst. Man Cybern. Part B Yanmin Sun, Andrew K. C. Wong, Yang Wang
2006	—	`conf`	An Overview of Associative Classifiers. DMIN Yanmin Sun, Andrew K. C. Wong, Yang Wang
2006	J	`jnl`	Boosting an Associative Classifier. IEEE Trans. Knowl. Data Eng. Yanmin Sun, Yang Wang, Andrew K. C. Wong
2006	A*	`conf`	Boosting for Learning Multiple Classes with Imbalanced Class Distribution. ICDM Yanmin Sun, Mohamed S. Kamel, Yang Wang
2005	J	`jnl`	Attribute Clustering for Grouping, Selection, and Classification of Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Wai-Ho Au, Keith C. C. Chan, Andrew K. C. Wong, Yang Wang
2005	—	`conf`	Parameter Inference of Cost-Sensitive Boosting Algorithms. MLDM Yanmin Sun, Andrew K. C. Wong, Yang Wang
2004	J	`jnl`	A global optimal algorithm for class-dependent discretization of continuous data. Intell. Data Anal. Lili Liu, Andrew K. C. Wong, Yang Wang
2003	J	`jnl`	From Association to Classification: Inference Using Weight of Evidence. IEEE Trans. Knowl. Data Eng. Yang Wang, Andrew K. C. Wong
2003	J	`jnl`	Pattern discovery: a data driven approach to decision support. IEEE Trans. Syst. Man Cybern. Part C Andrew K. C. Wong, Yang Wang
1997	J	`jnl`	High-Order Pattern Discovery from Discrete-Valued Data. IEEE Trans. Knowl. Data Eng. Andrew K. C. Wong, Yang Wang
1996	A*	`conf`	Representing Discovered Patterns Using Attributed Hypergraph. KDD Yang Wang, Andrew K. C. Wong