Wei Fan, Kun Zhang,
Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu and
Olivier Verscheure, Direct Mining of Discriminative and Essential Graphical
and Itemset Features via Model-based Search Tree,
Proceedings of the 2008 International Conference on Knowledge Discovery and
Data Mining (KDD 08).
Las Vegas, NV, Aug 2008.
To appear.
Xifeng Yan, Hong Cheng, Jiawei Han, and Philip S. Yu. Mining Significant Graph Patterns by Scalable Leap Search, Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data (SIGMOD 08). Vancouver, Canada, June 2008.
Yizhou Sun, Tianyi Wu, Zhijun Yin, Hong Cheng, Jiawei Han, Xiaoxin Yin, and Peixiang Zhao. BibNetMiner: Mining Bibliographic Information Networks, Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data (SIGMOD 08). Vancouver, Canada, June 2008.
Ding Yuan, Kyuhyung Lee, Hong Cheng, Gopal Krishna, Zhenmin Li, Xiao Ma, Yuanyuan Zhou, and Jiawei Han. CISpan: Comprehensive Incremental Mining Algorithms of Closed Sequential Patterns for Multi-Versional Software Mining. Proceedings of the 2008 SIAM International Conference on Data Mining (SDM 08). Atlanta, Georgia, April 2008.
Jiangtao Ren, Zhengyuan Qiu, Wei Fan, Hong Cheng, and Philip S. Yu, Forward Semi-supervised Feature Selection. Proceedings of the 2008 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 08). Osaka, Japan, May 2008.
Hong Cheng, Xifeng Yan, Jiawei Han and Philip S. Yu, Direct Discriminative Pattern Mining for Effective Classification, Proceedings of the 2008 IEEE International Conference on Data Engineering (ICDE 08). Cancun, Mexico, April 2008.
Hong Cheng, Xifeng Yan, Jiawei Han and Chih-Wei Hsu, Discriminative Frequent Pattern Analysis for Effective Classification, Proceedings of the 2007 IEEE International Conference on Data Engineering (ICDE 07). Istanbul, Turkey, April 2007.
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu and Hong Cheng, Mining Colossal Frequent Patterns by Core Pattern Fusion, Proceedings of the 2007 IEEE International Conference on Data Engineering (ICDE 07). Istanbul, Turkey, April 2007. (Best Student Paper Award)
Hong Cheng, Philip S. Yu and Jiawei Han, AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery, Proceedings of the 2006 IEEE International Conference on Data Mining (ICDM 06). Hong Kong, Dec. 2006.
Dong Xin, Jiawei Han, Hong Cheng and Xiaolei Li, Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach, Proceedings of the 2006 International Conference on Very Large Data Bases (VLDB 06). Seoul, Korea, Sept. 2006.
Dong Xin, Hong Cheng, Xifeng Yan and Jiawei Han, Extracting Redundancy-aware Top-k Patterns, Proceedings of the 2006 International Conference on Knowledge Discovery and Data Mining (KDD 06). Philadelphia, PA, Aug. 2006.
Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han and Chengxiang Zhai, Generating Semantic Annotations for Frequent Patterns with Context Analysis, Proceedings of the 2006 International Conference on Knowledge Discovery and Data Mining (KDD 06). Philadelphia, PA, Aug. 2006. (Best Student Paper Runner-up Award)
Xifeng Yan, Hong Cheng, Jiawei Han, and Dong Xin, Summarizing Itemset Patterns: A Profile-Based Approach, Proceedings of the 2005 International Conference on Knowledge Discovery and Data Mining (KDD 05). Chicago, IL, Aug. 2005 (Best Student Paper Runner-up Award)
Dong Xin, Jiawei Han, Xifeng Yan and Hong Cheng, Mining Compressed Frequent-Pattern Sets, Proceedings of the 2005 International Conference on Very Large Data Bases (VLDB 05). Trondheim, Norway, Aug. 2005.
Hong Cheng, Xifeng Yan and Jiawei Han. SeqIndex: Indexing Sequences by Sequential Pattern Analysis, Proceedings of the 2005 SIAM International Conference on Data Mining (SDM 05) . Newport Beach, CA, April 2005.
Hong Cheng, Xifeng Yan and Jiawei Han. IncSpan: Incremental Mining of Sequential Patterns in Large Database, Proceedings of the 2004 International Conference on Knowledge Discovery and Data Mining (KDD 04). Seattle, WA, Aug 2004.
Qiang Yang and Hong Cheng. Mining Plans for Customer-Class Transformation. Proceedings of the 2003 IEEE International Conference on Data Mining (ICDM 03). Florida, USA, November 2003.
Qiang Yang and Hong Cheng. Case Mining from Large Databases. Proceedings of the 5th International Conference on Case based Reasoning (ICCBR 03). Trondheim, Norway. June 2003. Pages 691-702
Qiang Yang and Hong Cheng. Planning for Marketing Campaigns. In Proceedings of the 2003 International Conference on Automated Planning and Scheduling (ICAPS 03), Trento, Italy, June 2003. Pages 174--184.
Qiang Yang and Hong Cheng. Case Mining for Action Recommendations. In Proceedings of the IEEE International Conference on Data Mining (ICDM02). Maebachi, Japan, December 2002.