| Data mining: concepts and techniques J Han, J Pei, H Tong Morgan kaufmann, 2022 | 56025 | 2022 |
| Mining frequent patterns without candidate generation J Han, J Pei, Y Yin ACM sigmod record 29 (2), 1-12, 2000 | 10134 | 2000 |
| 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 | 3540 | 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 | 3415 | 2001 |
| 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 | 1860 | 2001 |
| 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 | 1802 | 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 | 1434 | 2000 |
| FreeSpan: frequent pattern-projected sequential pattern mining J Han, J Pei, B Mortazavi-Asl, Q Chen, U Dayal, MC Hsu Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 1308 | 2000 |
| Asymmetric transitivity preserving graph embedding M Ou, P Cui, J Pei, Z Zhang, W Zhu Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016 | 1214 | 2016 |
| A survey on network embedding P Cui, X Wang, J Pei, W Zhu IEEE transactions on knowledge and data engineering 31 (5), 833-852, 2018 | 1039 | 2018 |
| Preserving privacy in social networks against neighborhood attacks B Zhou, J Pei 2008 IEEE 24th International Conference on Data Engineering, 506-515, 2008 | 947 | 2008 |
| CLOSET+ searching for the best strategies for mining frequent closed itemsets J Wang, J Han, J Pei Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 899 | 2003 |
| Community preserving network embedding X Wang, P Cui, J Wang, J Pei, W Zhu, S Yang Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 856 | 2017 |
| Mining frequent patterns in data streams at multiple time granularities C Giannella, J Han, J Pei, X Yan, PS Yu Next generation data mining 212, 191-212, 2003 | 801 | 2003 |
| Mining access patterns efficiently from web logs J Pei, J Han, B Mortazavi-Asl, H Zhu Knowledge discovery and data mining. Current issues and new applications …, 2000 | 796 | 2000 |
| A brief survey on sequence classification Z Xing, J Pei, E Keogh ACM Sigkdd Explorations Newsletter 12 (1), 40-48, 2010 | 744 | 2010 |
| Probabilistic skylines on uncertain data J Pei, B Jiang, X Lin, Y Yuan Proceedings of the 33rd international conference on Very large data bases, 15-26, 2007 | 677 | 2007 |
| Context-aware query suggestion by mining click-through and session data H Cao, D Jiang, J Pei, Q He, Z Liao, E Chen, H Li Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 666 | 2008 |
| H-mine: Hyper-structure mining of frequent patterns in large databases J Pei, J Han, H Lu, S Nishio, S Tang, D Yang proceedings 2001 IEEE international conference on data mining, 441-448, 2001 | 640 | 2001 |
| Data mining M Kamber, J Pei Morgan kaufmann, 2006 | 589 | 2006 |
