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 | 1936 | 2007 |
Graph clustering based on structural/attribute similarities Y Zhou, H Cheng, JX Yu Proceedings of the VLDB Endowment 2 (1), 718-729, 2009 | 1113 | 2009 |
Rankclus: integrating clustering with ranking for heterogeneous information network analysis Y Sun, J Han, P Zhao, Z Yin, H Cheng, T Wu Proceedings of the 12th International Conference on Extending Database …, 2009 | 547 | 2009 |
Querying k-truss community in large and dynamic graphs X Huang, H Cheng, L Qin, W Tian, JX Yu Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 526 | 2014 |
Discriminative frequent pattern analysis for effective classification H Cheng, X Yan, J Han, CW Hsu 2007 IEEE 23rd International Conference on Data Engineering, 716-725, 2007 | 503 | 2007 |
Mining significant graph patterns by leap search X Yan, H Cheng, J Han, PS Yu Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008 | 454 | 2008 |
A model-based approach to attributed graph clustering Z Xu, Y Ke, Y Wang, H Cheng, J Cheng Proceedings of the 2012 ACM SIGMOD international conference on management of …, 2012 | 433 | 2012 |
IncSpan: incremental mining of sequential patterns in large database H Cheng, X Yan, J Han Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 302 | 2004 |
Mining compressed frequent-pattern sets D Xin, J Han, X Yan, H Cheng Proceedings of the 31st international conference on Very large data bases …, 2005 | 299 | 2005 |
What's your next move: User activity prediction in location-based social networks J Ye, Z Zhu, H Cheng Proceedings of the 2013 SIAM International Conference on Data Mining, 171-179, 2013 | 284 | 2013 |
Summarizing itemset patterns: a profile-based approach X Yan, H Cheng, J Han, D Xin Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 279 | 2005 |
Classification of software behaviors for failure detection: a discriminative pattern mining approach D Lo, H Cheng, J Han, SC Khoo, C Sun Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 274 | 2009 |
Direct discriminative pattern mining for effective classification H Cheng, X Yan, J Han, SY Philip 2008 IEEE 24th International Conference on Data Engineering, 169-178, 2008 | 272 | 2008 |
Clustering large attributed graphs: An efficient incremental approach Y Zhou, H Cheng, JX Yu 2010 IEEE International Conference on Data Mining, 689-698, 2010 | 260 | 2010 |
Approximate closest community search in networks X Huang, LVS Lakshmanan, JX Yu, H Cheng Proceedings of the VLDB Endowment 9 (4), 276-287, 2015 | 234 | 2015 |
Identifying bug signatures using discriminative graph mining H Cheng, D Lo, Y Zhou, X Wang, X Yan Proceedings of the eighteenth international symposium on Software testing …, 2009 | 203 | 2009 |
Clustering large attributed graphs: A balance between structural and attribute similarities H Cheng, Y Zhou, JX Yu ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (2), 1-33, 2011 | 195 | 2011 |
Extracting redundancy-aware top-k patterns D Xin, H Cheng, X Yan, J Han Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 176 | 2006 |
Semi-supervised graph classification: A hierarchical graph perspective J Li, Y Rong, H Cheng, H Meng, W Huang, J Huang The World Wide Web Conference, 972-982, 2019 | 163 | 2019 |
Direct mining of discriminative and essential frequent patterns via model-based search tree W Fan, K Zhang, H Cheng, J Gao, X Yan, J Han, P Yu, O Verscheure Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 163 | 2008 |