Jiawei Han - Google Scholar Citations

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Jian PeiProfessor of Computing Science, Simon Fraser UniversityVerified email at cs.sfu.ca
Xifeng YanProfessor, Computer Science, Univ. of California at Santa BarbaraVerified email at cs.ucsb.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Yizhou SunAssociate Professor, Computer Science, UCLAVerified email at cs.ucla.edu
Jing GaoAssociate Professor, Computer Science and Engineering, SUNY at BuffaloVerified email at buffalo.edu
Jianyong WangTsinghua UniversityVerified email at tsinghua.edu.cn
Deng CaiProfessor of Computer Science, Zhejiang UniversityVerified email at cad.zju.edu.cn
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVerified email at us.ibm.com
Xiaofei HeProfessor of Computer Science, Zhejiang UniversityVerified email at cad.zju.edu.cn
Xiang RenAssistant Professor of Computer Science, USCVerified email at usc.edu
Hong ChengAssociate Professor, The Chinese University of Hong KongVerified email at se.cuhk.edu.hk
Dong XinGoogleVerified email at google.com
Wei FanTencent Medical AI LabVerified email at tencent.com
Manish GuptaBing, MicrosoftVerified email at microsoft.com
Quanquan GuAssistant Professor of Computer Science, UCLAVerified email at cs.ucla.edu
Bo ZhaoPinterestVerified email at pinterest.com
Raymond NgUniversity of British ColumbiaVerified email at cs.ubc.ca
Xiaoxin YinHouzzVerified email at houzz.com
Zhenhui (Jessie) LiAssociate Professor of Information Sciences and Technology, Pennsylvania State UniversityVerified email at ist.psu.edu
Chi WangMicrosoft ResearchVerified email at microsoft.com

Jiawei Han

Abel Bliss Professor of Computer Science, University of Illinois

Verified email at cs.uiuc.edu - Homepage

data mining database systems data warehousing information networks


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Data mining: concepts and techniques J Han, J Pei, M Kamber Elsevier, 2011	47311	2011
Mining frequent patterns without candidate generation J Han, J Pei, Y Yin ACM sigmod record 29 (2), 1-12, 2000	8923	2000
Data mining: an overview from a database perspective MS Chen, J Han, PS Yu IEEE Transactions on Knowledge and data Engineering 8 (6), 866-883, 1996	3438	1996
E cient and E ective clustering methods for spatial data mining RT Ng, J Han Proceedings of VLDB, 144-155, 1994	3039	1994
Prefixspan: Mining sequential patterns efficiently by prefix-projected pattern growth J Han, J Pei, B Mortazavi-Asl, H Pinto, Q Chen, U Dayal, M Hsu proceedings of the 17th international conference on data engineering, 215-224, 2001	3015	2001
Mining frequent patterns without candidate generation: A frequent-pattern tree approach J Han, J Pei, Y Yin, R Mao Data mining and knowledge discovery 8 (1), 53-87, 2004	2897	2004
gspan: Graph-based substructure pattern mining X Yan, J Han 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 721-724, 2002	2609	2002
A framework for clustering evolving data streams CC Aggarwal, SY Philip, J Han, J Wang Proceedings 2003 VLDB conference, 81-92, 2003	2228	2003
Self-tuning spectral clustering L Zelnik-Manor, P Perona Advances in neural information processing systems, 1601-1608, 2005	2133	2005
数据挖掘: 概念与技术坎伯，小峰机械工业出版社, 2001	1996*	2001
CMAR: Accurate and efficient classification based on multiple class-association rules W Li, J Han, J Pei Proceedings 2001 IEEE international conference on data mining, 369-376, 2001	1652	2001
Discovery of multiple-level association rules from large databases J Han, Y Fu VLDB 95, 420-431, 1995	1629	1995
Mining concept-drifting data streams using ensemble classifiers H Wang, W Fan, PS Yu, J Han Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	1610	2003
Graph regularized nonnegative matrix factorization for data representation D Cai, X He, J Han, TS Huang IEEE transactions on pattern analysis and machine intelligence 33 (8), 1548-1560, 2010	1584	2010
Geographic data mining and knowledge discovery HJ Miller, J Han CRC press, 2009	1560*	2009
Frequent pattern mining: current status and future directions J Han, H Cheng, D Xin, X Yan Data mining and knowledge discovery 15 (1), 55-86, 2007	1540	2007
Trajectory clustering: a partition-and-group framework JG Lee, J Han, KY Whang Proceedings of the 2007 ACM SIGMOD international conference on Management of …, 2007	1488	2007
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	1483	2004
Maintenance of discovered association rules in large databases: An incremental updating technique DW Cheung, J Han, VT Ng, CY Wong Proceedings of the twelfth international conference on data engineering, 106-114, 1996	1333	1996
Closet: An efficient algorithm for mining frequent closed itemsets. J Pei, J Han, R Mao ACM SIGMOD workshop on research issues in data mining and knowledge …, 2000	1328	2000

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