| A framework for clustering evolving data streams CC Aggarwal, J Han, J Wang, PS Yu Proceedings of the 29th international conference on Very large data bases …, 2003 | 2631 | 2003 |
| Mining sequential patterns by pattern-growth: The prefixspan approach J Pei, J Han, B Mortazavi-Asl, J Wang, H Pinto, Q Chen, U Dayal, MC Hsu IEEE Transactions on knowledge and data engineering 16 (11), 1424-1440, 2004 | 1825 | 2004 |
| BIDE: Efficient mining of frequent closed sequences J Wang, J Han Data Engineering, 2004. Proceedings. 20th International Conference on, 79-90, 2004 | 1182* | 2004 |
| CLOSET+ searching for the best strategies for mining frequent closed itemsets J Wang, J Han, J Pei Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 913 | 2003 |
| Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions W Shen, J Wang, J Han IEEE Transactions on Knowledge and Data Engineering, 1-20, 2014 | 837 | 2014 |
| A Framework for Projected Clustering of High Dimensional Data Streams CC Aggarwal, J Han, J Wang, P Yu VLDB, 2004 | 776 | 2004 |
| EASE: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data G Li, BC Ooi, J Feng, J Wang, L Zhou Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008 | 590 | 2008 |
| A Dirichlet Multinomial Mixture Model-based Approach for Short Text Clustering J Yin, J Wang ACM SIGKDD'14, 233-242, 2014 | 577 | 2014 |
| Comparing stars: On approximating graph edit distance Z Zeng, AKH Tung, J Wang, J Feng, L Zhou Proceedings of the VLDB Endowment 2 (1), 25-36, 2009 | 479 | 2009 |
| Multi-dimensional regression analysis of time-series data streams Y Chen, G Dong, J Han, BW Wah, J Wang VLDB'02: Proceedings of the 28th International Conference on Very Large …, 2002 | 457 | 2002 |
| Frequent pattern mining with uncertain data CC Aggarwal, Y Li, J Wang, J Wang Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 408 | 2009 |
| Mining top-k frequent closed patterns without minimum support J Han, J Wang, Y Lu, P Tzvetkov 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 211-218, 2002 | 404 | 2002 |
| On demand classification of data streams CC Aggarwal, J Han, J Wang, PS Yu Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 381 | 2004 |
| Effective keyword search for valuable lcas over xml documents G Li, J Feng, J Wang, L Zhou Proceedings of the sixteenth ACM conference on Conference on information and …, 2007 | 309 | 2007 |
| TFP: An efficient algorithm for mining top-k frequent closed itemsets J Wang, J Han, Y Lu, P Tzvetkov IEEE Transactions on Knowledge and Data Engineering 17 (5), 652-663, 2005 | 307 | 2005 |
| Linden: linking named entities with knowledge base via semantic knowledge W Shen, J Wang, P Luo, M Wang Proceedings of the 21st international conference on World Wide Web, 449-458, 2012 | 294 | 2012 |
| Stream cube: An architecture for multi-dimensional analysis of data streams J Han, Y Chen, G Dong, J Pei, BW Wah, J Wang, YD Cai Distributed and Parallel Databases 18, 173-197, 2005 | 236 | 2005 |
| HARMONY: Efficiently mining the best rules for classification J Wang, G Karypis Proceedings of the 2005 SIAM International Conference on Data Mining, 205-216, 2005 | 227 | 2005 |
| Linking named entities in tweets with knowledge base via user interest modeling W Shen, J Wang, P Luo, M Wang Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 200 | 2013 |
| Coherent closed quasi-clique discovery from large dense graph databases Z Zeng, J Wang, L Zhou, G Karypis Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 190 | 2006 |
Jiawei HanAbel Bliss Professor of Computer Science, University of Illinois在 cs.uiuc.edu 的电子邮件经过验证
