Jiawei Han

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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, School of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVerified email at us.ibm.com
Jianyong WangTsinghua UniversityVerified email at tsinghua.edu.cn
Deng CaiProfessor of Computer Science, Zhejiang UniversityVerified email at cad.zju.edu.cn
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 ChengProfessor, The Chinese University of Hong KongVerified email at se.cuhk.edu.hk
Dong XinGoogleVerified email at google.com
Manish GuptaBing, MicrosoftVerified email at microsoft.com
Quanquan GuAssistant Professor of Computer Science, UCLAVerified email at cs.ucla.edu
Jialu LiuGoogle ResearchVerified email at illinois.edu
Heng JiProfessor of Computer Science, University of Illinois at Urbana-Champaign, Amazon ScholarVerified email at illinois.edu
Wei FanTencent Medical AI LabVerified email at tencent.com
Bo ZhaoPinterestVerified email at pinterest.com
Chi WangMicrosoft ResearchVerified email at microsoft.com
Zhenhui (Jessie) LiPenn State UniversityVerified email at ist.psu.edu

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	52568	2011
Mining frequent patterns without candidate generation J Han, J Pei, Y Yin ACM sigmod record 29 (2), 1-12, 2000	9713	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	3636	1996
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	3215	2001
E cient and E ective clustering methods for spatial data mining RT Ng, J Han Proceedings of VLDB, 144-155, 1994	3215	1994
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	3206	2004
gspan: Graph-based substructure pattern mining X Yan, J Han 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 721-724, 2002	2799	2002
Spectral clustering J Liu, J Han Data Clustering, 177-200, 2018	2441	2018
A framework for clustering evolving data streams CC Aggarwal, SY Philip, J Han, J Wang Proceedings 2003 VLDB conference, 81-92, 2003	2424	2003
数据挖掘: 概念与技术坎伯，小峰机械工业出版社, 2001	2034*	2001
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	1946	2010
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	1763	2001
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	1750	2003
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	1706	2007
Discovery of multiple-level association rules from large databases J Han, Y Fu VLDB 95, 420-431, 1995	1696	1995
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	1688	2007
Geographic data mining and knowledge discovery HJ Miller, J Han CRC press, 2009	1672*	2009
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	1658	2004
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	1403	2000
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	1398	1996

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