| PAMR: Passive aggressive mean reversion strategy for portfolio selection B Li, P Zhao, SCH Hoi, V Gopalkrishnan Machine learning 87, 221-258, 2012 | 221 | 2012 |
| A survey on enhanced subspace clustering K Sim, V Gopalkrishnan, A Zimek, G Cong Data mining and knowledge discovery 26, 332-397, 2013 | 198 | 2013 |
| Mining outliers with ensemble of heterogeneous detectors on random subspaces HV Nguyen, HH Ang, V Gopalkrishnan Database Systems for Advanced Applications: 15th International Conference …, 2010 | 139 | 2010 |
| Confidence weighted mean reversion strategy for online portfolio selection B Li, SCH Hoi, P Zhao, V Gopalkrishnan ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (1), 1-38, 2013 | 120 | 2013 |
| Corn: Correlation-driven nonparametric learning approach for portfolio selection B Li, SCH Hoi, V Gopalkrishnan ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 1-29, 2011 | 116 | 2011 |
| Big data, big business: bridging the gap V Gopalkrishnan, D Steier, H Lewis, J Guszcza Proceedings of the 1st International Workshop on Big Data, Streams and …, 2012 | 114 | 2012 |
| Mining maximal quasi-bicliques to co-cluster stocks and financial ratios for value investment K Sim, J Li, V Gopalkrishnan, G Liu Sixth International Conference on Data Mining (ICDM'06), 1059-1063, 2006 | 64 | 2006 |
| Regression models for estimating product life cycle cost H Liu, V Gopalkrishnan, KTN Quynh, WK Ng Journal of Intelligent Manufacturing 20, 401-408, 2009 | 60 | 2009 |
| Towards efficient mining of proportional fault-tolerant frequent itemsets AK Poernomo, V Gopalkrishnan Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 57 | 2009 |
| Feature extraction for outlier detection in high-dimensional spaces HV Nguyen, V Gopalkrishnan Feature Selection in Data Mining, 66-75, 2010 | 49 | 2010 |
| Star/snow-flake schema driven object-relational data warehouse design and query processing strategies V Gopalkrishnan, Q Li, K Karlapalem International Conference on Data Warehousing and Knowledge Discovery, 11-22, 1999 | 48 | 1999 |
| An unbiased distance-based outlier detection approach for high-dimensional data HV Nguyen, V Gopalkrishnan, I Assent Database Systems for Advanced Applications: 16th International Conference …, 2011 | 47 | 2011 |
| Mining maximal quasi‐bicliques: Novel algorithm and applications in the stock market and protein networks K Sim, J Li, V Gopalkrishnan, G Liu Statistical Analysis and Data Mining: The ASA Data Science Journal 2 (4 …, 2009 | 47 | 2009 |
| Efficient pruning schemes for distance-based outlier detection NH Vu, V Gopalkrishnan Machine Learning and Knowledge Discovery in Databases: European Conference …, 2009 | 46 | 2009 |
| Issues of object-relational view design in data warehousing environment KK Vivekanand Gopalkrishnan, Qing Li SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems …, 1998 | 46 | 1998 |
| Discovering correlated subspace clusters in 3D continuous-valued data K Sim, Z Aung, V Gopalkrishnan 2010 IEEE International Conference on Data Mining, 471-480, 2010 | 44 | 2010 |
| Cascade RSVM in peer-to-peer networks HH Ang, V Gopalkrishnan, SCH Hoi, WK Ng Machine Learning and Knowledge Discovery in Databases: European Conference …, 2008 | 38 | 2008 |
| A case study on financial ratios via cross-graph quasi-bicliques K Sim, G Liu, V Gopalkrishnan, J Li Information Sciences 181 (1), 201-216, 2011 | 37 | 2011 |
| Predictive handling of asynchronous concept drifts in distributed environments HH Ang, V Gopalkrishnan, I Zliobaite, M Pechenizkiy, SCH Hoi IEEE Transactions on Knowledge and Data Engineering 25 (10), 2343-2355, 2012 | 36 | 2012 |
| Confidence weighted mean reversion strategy for on-line portfolio selection B Li, SCH Hoi, P Zhao, V Gopalkrishnan Proceedings of the Fourteenth International Conference on Artificial …, 2011 | 33 | 2011 |
