| 2013 | ||
|---|---|---|
| j11 | Kelvin Sim, Vivekanand Gopalkrishnan, Arthur Zimek, Gao Cong: A survey on enhanced subspace clustering. Data Min. Knowl. Discov. 26(2): 332-397 (2013) | |
| j10 | Bin Li, Steven C. H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan: Confidence Weighted Mean Reversion Strategy for Online Portfolio Selection. TKDD 7(1): 4 (2013) | |
| j9 | Kelvin Sim, Ghim-Eng Yap, David R. Hardoon, Vivekanand Gopalkrishnan, Gao Cong, Suryani Lukman: Centroid-Based Actionable 3D Subspace Clustering. IEEE Trans. Knowl. Data Eng. 25(6): 1213-1226 (2013) | |
| 2012 | ||
| j8 | Bin Li, Peilin Zhao, Steven C. H. Hoi, Vivekanand Gopalkrishnan: PAMR: Passive aggressive mean reversion strategy for portfolio selection. Machine Learning 87(2): 221-258 (2012) | |
| 2011 | ||
| j7 | Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan: Class description using partial coverage of subspaces. Expert Syst. Appl. 38(10): 12035-12043 (2011) | |
| j6 | Kelvin Sim, Guimei Liu, Vivekanand Gopalkrishnan, Jinyan Li: A case study on financial ratios via cross-graph quasi-bicliques. Inf. Sci. 181(1): 201-216 (2011) | |
| j5 | Bin Li, Steven C. H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan: Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection. Journal of Machine Learning Research - Proceedings Track 15: 434-442 (2011) | |
| j4 | Bin Li, Steven C. H. Hoi, Vivekanand Gopalkrishnan: CORN: Correlation-driven nonparametric learning approach for portfolio selection. ACM TIST 2(3): 21 (2011) | |
| c32 | Nguyen Hoang Vu, Vivekanand Gopalkrishnan, Ira Assent: An Unbiased Distance-Based Outlier Detection Approach for High-Dimensional Data. DASFAA (1) 2011: 138-152 | |
| 2010 | ||
| j3 | Nguyen Hoang Vu, Vivekanand Gopalkrishnan: Feature Extraction for Outlier Detection in High-Dimensional Spaces. Journal of Machine Learning Research - Proceedings Track 10: 66-75 (2010) | |
| j2 | Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi: P2PDocTagger: Content management through automated P2P collaborative tagging. PVLDB 3(2): 1601-1604 (2010) | |
| c31 | Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng: Adaptive Ensemble Classification in P2P Networks. DASFAA (1) 2010: 34-48 | |
| c30 | Nguyen Hoang Vu, Hock Hee Ang, Vivekanand Gopalkrishnan: Mining Outliers with Ensemble of Heterogeneous Detectors on Random Subspaces. DASFAA (1) 2010: 368-383 | |
| c29 | Quach Vinh Thanh, Vivekanand Gopalkrishnan, Hock Hee Ang: Distributed Classification on Peers with Variable Data Spaces and Distributions. ICDM Workshops 2010: 88-95 | |
| c28 | Kelvin Sim, Zeyar Aung, Vivekanand Gopalkrishnan: Discovering Correlated Subspace Clusters in 3D Continuous-Valued Data. ICDM 2010: 471-480 | |
| c27 | Hock Hee Ang, Vivekanand Gopalkrishnan, Anwitaman Datta, Wee Keong Ng, Steven C. H. Hoi: Satrap: Data and Network Heterogeneity Aware P2P Data-Mining. PAKDD (2) 2010: 63-70 | |
| c26 | Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi: On Classifying Drifting Concepts in P2P Networks. ECML/PKDD (1) 2010: 24-39 | |
| c25 | Kelvin Sim, Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan: Mining Actionable Subspace Clusters in Sequential Data. SDM 2010: 442-453 | |
| 2009 | ||
| j1 | Kelvin Sim, Jinyan Li, Vivekanand Gopalkrishnan, Guimei Liu: Mining maximal quasi-bicliques: Novel algorithm and applications in the stock market and protein networks. Statistical Analysis and Data Mining 2(4): 255-273 (2009) | |
| c24 | Nguyen Hoang Vu, Vivekanand Gopalkrishnan: Epsilon Equitable Partition: On Scheduling Data Loading and View Maintenance in Soft Real-time Data Warehouses. COMAD 2009 | |
| c23 | Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan: PUB: A Class Description Technique Based on Partial Coverage of Subspace. ICDM 2009: 920-925 | |
| c22 | Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan: CP-summary: a concise representation for browsing frequent itemsets. KDD 2009: 687-696 | |
| c21 | Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan: Towards efficient mining of proportional fault-tolerant frequent itemsets. KDD 2009: 697-706 | |
| c20 | Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi: Communication-Efficient Classification in P2P Networks. ECML/PKDD (1) 2009: 83-98 | |
| c19 | Nguyen Hoang Vu, Vivekanand Gopalkrishnan: Efficient Pruning Schemes for Distance-Based Outlier Detection. ECML/PKDD (2) 2009: 160-175 | |
| c18 | Kelvin Sim, Vivekanand Gopalkrishnan, Hon Nian Chua, See-Kiong Ng: MACs: Multi-Attribute Co-clusters with High Correlation Information. ECML/PKDD (2) 2009: 398-413 | |
| c17 | Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan: Efficient Computation of Partial-Support for Mining Interesting Itemsets. SDM 2009: 1014-1025 | |
| 2008 | ||
| c16 | Manoranjan Dash, Vivekanand Gopalkrishnan: Distance Based Feature Selection for Clustering Microarray Data. DASFAA 2008: 512-519 | |
| c15 | Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng, Anwitaman Datta: Classification in P2P Networks by Bagging Cascade RSVMs. DBISP2P 2008: 13-25 | |
| c14 | ||
| c13 | Viet-An Nguyen, Vivekanand Gopalkrishnan: Rule Evolution Approach for Mining Multivariate Time Series Data. ICEIS (2) 2008: 19-26 | |
| c12 | Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng: Cascade RSVM in Peer-to-Peer Networks. ECML/PKDD (1) 2008: 55-70 | |
| c11 | Jashanjot Singh Sekhon, Vivekanand Gopalkrishnan, Wee Keong Ng: Proportionate feature selection - A pre-processing step for clustering. SMC 2008: 2622-2627 | |
| c10 | Nguyen Hoang Vu, Vivekanand Gopalkrishnan, Praneeth Namburi: Online Outlier Detection Based on Relative Neighbourhood Dissimilarity. WISE 2008: 50-61 | |
| 2007 | ||
| c9 | ||
| c8 | Haifeng Liu, Vivekanand Gopalkrishnan, Wee Keong Ng, Bin Song, Xiang Li: Estimating product lifecycle cost using a hybrid approach. ICDIM 2007: 393-398 | |
| c7 | Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan: Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases. ICDM 2007: 272-281 | |
| c6 | Sukanya Ramabadran, Vivekanand Gopalkrishnan: Intelligent E-Learning Systems - An Intelligent Approach to Flexible Learning Methodologies. ICEIS (2) 2007: 107-112 | |
| 2006 | ||
| c5 | Kelvin Sim, Jinyan Li, Vivekanand Gopalkrishnan, Guimei Liu: Mining Maximal Quasi-Bicliques to Co-Cluster Stocks and Financial Ratios for Value Investment. ICDM 2006: 1059-1063 | |
| c4 | Prima Chairunnanda, Vivekanand Gopalkrishnan, Lei Chen: Enhancing Edit Distance on Real Sequences Filters using Histogram Distance on Fixed Reference Ordering. ICPR (3) 2006: 582-585 | |
| 2000 | ||
| c3 | Vivekanand Gopalkrishnan, Qing Li, Kamalakar Karlapalem: Efficient query processing with associated horizontal class partitioning in an object relational data warehousing environment. DMDW 2000: 4 | |
| c2 | Vivekanand Gopalkrishnan, Qing Li, Kamalakar Karlapalem: Efficient query processing with structural join indexing in an object relational data warehousing environment. IRMA Conference 2000: 976-979 | |
| 1999 | ||
| c1 | Vivekanand Gopalkrishnan, Qing Li, Kamalakar Karlapalem: Star/Snow-Flake Schema Driven Object-Relational Data Warehouse - Design and Query Processing Strategies. DaWaK 1999: 11-22 | |
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