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 |
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 | 110 | 2014 |
Distance based subspace clustering with flexible dimension partitioning G Liu, J Li, K Sim, L Wong Data Engineering, 2007. ICDE 2007. IEEE 23rd International Conference on …, 2007 | 76 | 2007 |
Efficient mining of large maximal bicliques G Liu, K Sim, J Li Data Warehousing and Knowledge Discovery, 437-448, 2006 | 74 | 2006 |
Mining maximal quasi-bicliques to co-cluster stocks and financial ratios for value investment K Sim, J Li, V Gopalkrishnan, G Liu Data Mining, 2006. ICDM'06. Sixth International Conference on, 1059-1063, 2006 | 64 | 2006 |
Maximal quasi-bicliques with balanced noise tolerance: Concepts and co-clustering applications J Li, K Sim, G Liu, L Wong Proceedings of the 8th SIAM International Conference on Data Mining (SDM), 72-83, 2008 | 51 | 2008 |
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 2 (4), 255-273, 2009 | 47 | 2009 |
Discovering Correlated Subspace Clusters in 3D Continuous-Valued Data K Sim, Z Aung, V Gopalkrishnan Data Mining (ICDM), 2010 IEEE 10th International Conference on, 471-480, 2010 | 44 | 2010 |
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 |
Efficient mining of distance‐based subspace clusters G Liu, K Sim, J Li, L Wong Statistical Analysis and Data Mining 2 (5‐6), 427-444, 2009 | 26 | 2009 |
Improving the accuracy of erroneous-plan recognition system for Activities of Daily Living K Sim, GE Yap, C Phua, J Biswas, AAP Wai, A Tolstikov, W Huang, P Yap e-Health Networking Applications and Services (Healthcom), 2010 12th IEEE …, 2010 | 23 | 2010 |
Centroid-based actionable 3D subspace clustering K Sim, GE Yap, DR Hardoon, V Gopalkrishnan, G Cong, S Lukman IEEE transactions on knowledge and data engineering 25 (6), 1213-1226, 2012 | 22 | 2012 |
Mining Actionable Subspace Clusters in Sequential Data K Sim, AK Poernomo, V Gopalkrishnan | 22* | |
Activity recognition using correlated pattern mining for people with dementia K Sim, C Phua, GE Yap, J Biswas, M Mokhtari 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 16 | 2011 |
Sensor based micro context for mild dementia assistance J Biswas, K Sim, W Huang, A Tolstikov, A Aung, M Jayachandran, V Foo, ... Proceedings of the 3rd International Conference on PErvasive Technologies …, 2010 | 15 | 2010 |
Multiple People Activity Recognition using Simple Sensors. C Phua, K Sim, J Biswas PECCS, 224-231, 2011 | 14 | 2011 |
ACARP: auto correct activity recognition rules using process analysis toolkit (PAT) VY Lee, Y Liu, X Zhang, C Phua, K Sim, J Zhu, J Biswas, JS Dong, ... Impact Analysis of Solutions for Chronic Disease Prevention and Management …, 2012 | 13 | 2012 |
Interacting amino acid preferences of 3D pattern pairs at the binding sites of transient and obligate protein complexes S Lukman, K Sim, J Li, YPP Chen Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 69-78, 2008 | 13 | 2008 |
Harnessing structural data of insulin and insulin receptor for therapeutic designs S Lukman, H Al Safar, SM Lee, K Sim Journal of Endocrinology and Metabolism 5 (5), 273-283, 2015 | 10 | 2015 |
MACs: Multi-attribute co-clusters with high correlation information K Sim, V Gopalkrishnan, H Chua, SK Ng Machine Learning and Knowledge Discovery in Databases, 398-413, 2009 | 9 | 2009 |