Jiawei Han

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Jian PeiArthur S. Pearse Distinguished Professor, Duke 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
Jing GaoAssociate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Yizhou SunProfessor, Computer Science, UCLAVerified email at cs.ucla.edu
Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaVerified email at usc.edu
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVerified email at us.ibm.com
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon ScholarVerified email at illinois.edu
Xiaofei HeProfessor of Computer Science, Zhejiang UniversityVerified email at cad.zju.edu.cn
Deng CaiProfessor of Computer Science, Zhejiang UniversityVerified email at cad.zju.edu.cn
Jianyong WangTsinghua UniversityVerified email at tsinghua.edu.cn
Chao ZhangAssistant Professor at College of Computing, Georgia TechVerified email at gatech.edu
Hong ChengProfessor, The Chinese University of Hong KongVerified email at se.cuhk.edu.hk
Chi WangMicrosoft ResearchVerified email at microsoft.com
Manish GuptaBing, MicrosoftVerified email at microsoft.com
Quanquan GuAssociate Professor of Computer Science, UCLAVerified email at cs.ucla.edu
Dong XinGoogleVerified email at google.com
Bo ZhaoPinterestVerified email at pinterest.com
Wei FanFidelity InvestmentVerified email at fmr.com
Zhenhui (Jessie) LiYunqi Academy of EngineeringVerified email at illinois.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, H Tong Morgan kaufmann, 2022	63097	2022
Mining frequent patterns without candidate generation J Han, J Pei, Y Yin ACM sigmod record 29 (2), 1-12, 2000	10760	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	4070	1996
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, 53-87, 2004	3797	2004
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	3576	2001
E cient and E ective clustering methods for spatial data mining RT Ng, J Han Proceedings of VLDB, 144-155, 1994	3394	1994
Data mining: concepts and techniques H Jiawei, K Micheline Morgan kaufmann, 2006	3341	2006
gspan: Graph-based substructure pattern mining X Yan, J Han 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 721-724, 2002	3182	2002
A framework for clustering evolving data streams CC Aggarwal, SY Philip, J Han, J Wang Proceedings 2003 VLDB conference, 81-92, 2003	2774	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	2679	2010
数据挖掘: 概念与技术韩，坎伯，范明，孟小峰机械工业出版社, 2001	2513*	2001
On the variance of the adaptive learning rate and beyond L Liu, H Jiang, P He, W Chen, X Liu, J Gao, J Han arXiv preprint arXiv:1908.03265, 2019	2297	2019
Pathsim: Meta path-based top-k similarity search in heterogeneous information networks Y Sun, J Han, X Yan, PS Yu, T Wu Proceedings of the VLDB Endowment 4 (11), 992-1003, 2011	2218	2011
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	2115	2007
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	1994	2003
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	1936	2001
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	1933	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	1923	2004
Discovery of multiple-level association rules from large databases J Han, Y Fu VLDB 95, 420-431, 1995	1782	1995
CLARANS: A method for clustering objects for spatial data mining RT Ng, J Han IEEE transactions on knowledge and data engineering 14 (5), 1003-1016, 2002	1587	2002

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