| Finding bursty topics from microblogs Q Diao, J Jiang, F Zhu, EP LIM Acl, 2012 | 354 | 2012 |
| Topicsketch: Real-time bursty topic detection from twitter W Xie, F Zhu, J Jiang, EP Lim, K Wang IEEE Transactions on Knowledge and Data Engineering 28 (8), 2216-2229, 2016 | 315 | 2016 |
| Hydra: Large-scale social identity linkage via heterogeneous behavior modeling S Liu, S Wang, F Zhu, J Zhang, R Krishnan Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 298 | 2014 |
| Cqarank: jointly model topics and expertise in community question answering L Yang, M Qiu, S Gottipati, F Zhu, J Jiang, H Sun, Z Chen Proceedings of the 22nd ACM international conference on Information …, 2013 | 263 | 2013 |
| Graph OLAP: Towards online analytical processing on graphs C Chen, X Yan, F Zhu, J Han, SY Philip 2008 eighth IEEE international conference on data mining, 103-112, 2008 | 213 | 2008 |
| On recommending hashtags in twitter networks SM Kywe, TA Hoang, EP Lim, F Zhu Social Informatics: 4th International Conference, SocInfo 2012, Lausanne …, 2012 | 203 | 2012 |
| Text cube: Computing ir measures for multidimensional text database analysis CX Lin, B Ding, J Han, F Zhu, B Zhao 2008 Eighth IEEE International Conference on Data Mining, 905-910, 2008 | 160 | 2008 |
| User identity linkage by latent user space modelling X Mu, F Zhu, EP Lim, J Xiao, J Wang, ZH Zhou Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 139 | 2016 |
| Mining colossal frequent patterns by core pattern fusion F Zhu, X Yan, J Han, SY Philip, H Cheng 2007 IEEE 23rd international conference on data engineering, 706-715, 2006 | 132 | 2006 |
| gapprox: Mining frequent approximate patterns from a massive network C Chen, X Yan, F Zhu, J Han Seventh IEEE International Conference on Data Mining (ICDM 2007), 445-450, 2007 | 126 | 2007 |
| A survey of recommender systems in twitter SM Kywe, EP Lim, F Zhu Social Informatics: 4th International Conference, SocInfo 2012, Lausanne …, 2012 | 114 | 2012 |
| gPrune: a constraint pushing framework for graph pattern mining F Zhu, X Yan, J Han, PS Yu Advances in Knowledge Discovery and Data Mining: 11th Pacific-Asia …, 2007 | 110 | 2007 |
| Graph OLAP: a multi-dimensional framework for graph data analysis C Chen, X Yan, F Zhu, J Han, PS Yu Knowledge and information systems 21, 41-63, 2009 | 101 | 2009 |
| Mining top-k large structural patterns in a massive network F Zhu, Q Qu, D Lo, X Yan, J Han, PS Yu Proceedings of the VLDB Endowment 4 (11), 807-818, 2011 | 96 | 2011 |
| Detecting click fraud in online advertising: a data mining approach R Oentaryo, EP Lim, M Finegold, D Lo, F Zhu, C Phua, EY Cheu, GE Yap, ... The Journal of Machine Learning Research 15 (1), 99-140, 2014 | 92 | 2014 |
| Characterizing silent users in social media communities W Gong, EP Lim, F Zhu Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015 | 90 | 2015 |
| Deep knowledge tracing and dynamic student classification for knowledge tracing S Minn, Y Yu, MC Desmarais, F Zhu, JJ Vie 2018 IEEE International conference on data mining (ICDM), 1182-1187, 2018 | 89 | 2018 |
| It is not just what we say, but how we say them: Lda-based behavior-topic model M Qiu, F Zhu, J Jiang Proceedings of the 2013 SIAM international conference on data mining, 794-802, 2013 | 79 | 2013 |
| Efficient topological OLAP on information networks Q Qu, F Zhu, X Yan, J Han, P Yu, H Li Springer Verlag 6587, 389, 2011 | 78 | 2011 |
| Factored similarity models with social trust for top-N item recommendation G Guo, J Zhang, F Zhu, X Wang Knowledge-Based Systems 122, 17-25, 2017 | 77 | 2017 |
Ee-Peng LimSingapore Management Universitysmu.edu.sg의 이메일 확인됨
