Data mining: concepts and techniques J Han, J Pei, H Tong Morgan kaufmann, 2022 | 56272 | 2022 |
Mining frequent patterns without candidate generation J Han, J Pei, Y Yin ACM sigmod record 29 (2), 1-12, 2000 | 10167 | 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 | 3879 | 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 | 3542 | 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 | 3395 | 2001 |
E cient and E ective clustering methods for spatial data mining RT Ng, J Han Proceedings of VLDB, 144-155, 1994 | 3291 | 1994 |
Data Mining: Concepts and Techniques.-3rd H Jiawei, K Micheline, P Jian Morgan kaufmann, 2012 | 3108 | 2012 |
gspan: Graph-based substructure pattern mining X Yan, J Han 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 721-724, 2002 | 3010 | 2002 |
A framework for clustering evolving data streams CC Aggarwal, SY Philip, J Han, J Wang Proceedings 2003 VLDB conference, 81-92, 2003 | 2600 | 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 | 2539* | 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 | 2322 | 2010 |
Geographic data mining and knowledge discovery HJ Miller, J Han CRC press, 2009 | 2080* | 2009 |
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 | 1919 | 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 | 1870 | 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 | 1864 | 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 | 1829 | 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 | 1807 | 2004 |
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 | 1804 | 2011 |
Discovery of multiple-level association rules from large databases J Han, Y Fu VLDB 95, 420-431, 1995 | 1733 | 1995 |
Challenges and opportunities with Big Data 2011-1 D Agrawal, P Bernstein, E Bertino, S Davidson, U Dayal, M Franklin, ... | 1689 | 2011 |