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 SunAssociate Professor, Computer Science, UCLAVerified email at cs.ucla.edu
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVerified email at us.ibm.com
Xiang RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaVerified email at usc.edu
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
Jianyong WangTsinghua UniversityVerified email at tsinghua.edu.cn
Heng JiProfessor of CS UIUC, Amazon Scholar, Founding Director of Amazon-Illinois AICE CenterVerified email at illinois.edu
Hong ChengProfessor, The Chinese University of Hong KongVerified email at se.cuhk.edu.hk
Chao ZhangAssistant Professor at College of Computing, Georgia TechVerified email at gatech.edu
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	59397	2022
Mining frequent patterns without candidate generation J Han, J Pei, Y Yin ACM sigmod record 29 (2), 1-12, 2000	10432	2000
Concepts and techniques J Han, M Kamber, D Mining Morgan kaufmann 340, 94104-3205, 2006	4137*	2006
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	3980	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	3632	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	3477	2001
E cient and E ective clustering methods for spatial data mining RT Ng, J Han Proceedings of VLDB, 144-155, 1994	3353	1994
gspan: Graph-based substructure pattern mining X Yan, J Han 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 721-724, 2002	3070	2002
A framework for clustering evolving data streams CC Aggarwal, SY Philip, J Han, J Wang Proceedings 2003 VLDB conference, 81-92, 2003	2672	2003
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	2550*	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	2487	2010
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	2018	2007
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	1988	2011
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	1923	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	1908	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	1884	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	1873	2004
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	1782	2019
Challenges and opportunities with Big Data 2011-1 D Agrawal, P Bernstein, E Bertino, S Davidson, U Dayal, M Franklin, ...	1765	2011
Discovery of multiple-level association rules from large databases J Han, Y Fu VLDB 95, 420-431, 1995	1759	1995

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