Jiawei Han

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	总计	2019 年至今
引用	258496	82558
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i10 指数	1071	720

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Jian PeiArthur S. Pearse Distinguished Professor, Duke University在 cs.sfu.ca 的电子邮件经过验证
Xifeng YanProfessor, Computer Science, Univ. of California at Santa Barbara在 cs.ucsb.edu 的电子邮件经过验证
Philip S. YuProfessor of Computer Science, University of Illinons at Chicago在 cs.uic.edu 的电子邮件经过验证
Jing GaoAssociate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue University在 purdue.edu 的电子邮件经过验证
Yizhou SunProfessor, Computer Science, UCLA在 cs.ucla.edu 的电子邮件经过验证
Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern California在 usc.edu 的电子邮件经过验证
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research Center在 us.ibm.com 的电子邮件经过验证
Xiaofei HeProfessor of Computer Science, Zhejiang University在 cad.zju.edu.cn 的电子邮件经过验证
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon Scholar在 illinois.edu 的电子邮件经过验证
Deng CaiProfessor of Computer Science, Zhejiang University在 cad.zju.edu.cn 的电子邮件经过验证
Jianyong WangTsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
Chao ZhangAssistant Professor at College of Computing, Georgia Tech在 gatech.edu 的电子邮件经过验证
Hong ChengProfessor, The Chinese University of Hong Kong在 se.cuhk.edu.hk 的电子邮件经过验证
Chi WangMicrosoft Research在 microsoft.com 的电子邮件经过验证
Manish GuptaBing, Microsoft在 microsoft.com 的电子邮件经过验证
Quanquan GuAssociate Professor of Computer Science, UCLA在 cs.ucla.edu 的电子邮件经过验证
Dong XinGoogle在 google.com 的电子邮件经过验证
Bo ZhaoPinterest在 pinterest.com 的电子邮件经过验证
Wei FanFidelity Investment在 fmr.com 的电子邮件经过验证
Zhenhui (Jessie) LiYunqi Academy of Engineering在 illinois.edu 的电子邮件经过验证

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Jiawei Han

Abel Bliss Professor of Computer Science, University of Illinois

在 cs.uiuc.edu 的电子邮件经过验证 - 首页

data mining database systems data warehousing information networks


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Data mining: concepts and techniques J Han, J Pei, H Tong Morgan kaufmann, 2022	62571	2022
Mining frequent patterns without candidate generation J Han, J Pei, Y Yin ACM sigmod record 29 (2), 1-12, 2000	10707	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	4057	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	3779	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	3558	2001
E cient and E ective clustering methods for spatial data mining RT Ng, J Han Proceedings of VLDB, 144-155, 1994	3389	1994
Data mining: concepts and techniques H Jiawei, K Micheline Morgan kaufmann, 2006	3321	2006
gspan: Graph-based substructure pattern mining X Yan, J Han 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 721-724, 2002	3161	2002
A framework for clustering evolving data streams CC Aggarwal, SY Philip, J Han, J Wang Proceedings 2003 VLDB conference, 81-92, 2003	2759	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	2648	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	2506*	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	2213	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	2198	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	2107	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	1987	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	1933	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	1921	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	1913	2004
Discovery of multiple-level association rules from large databases J Han, Y Fu VLDB 95, 420-431, 1995	1780	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	1581	2002

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