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Vivekanand Gopalkrishnan
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2010 – 2019
- 2014
- [j13]Kelvin Sim, Vivekanand Gopalkrishnan, Clifton Phua, Gao Cong
:
3D Subspace Clustering for Value Investing. IEEE Intell. Syst. 29(2): 52-59 (2014) - 2013
- [j12]Kelvin Sim, Vivekanand Gopalkrishnan, Arthur Zimek
A survey on enhanced subspace clustering. Data Min. Knowl. Discov. 26(2): 332-397 (2013) - [j11]Bin Li, Steven C. H. Hoi
Confidence Weighted Mean Reversion Strategy for Online Portfolio Selection. ACM Trans. Knowl. Discov. Data 7(1): 4:1-4:38 (2013) - [j10]Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi
Classification in P2P networks with cascade support vector machines. ACM Trans. Knowl. Discov. Data 7(4): 20:1-20:29 (2013) - [j9]Kelvin Sim, Ghim-Eng Yap, David R. Hardoon, Vivekanand Gopalkrishnan, Gao Cong
Centroid-Based Actionable 3D Subspace Clustering. IEEE Trans. Knowl. Data Eng. 25(6): 1213-1226 (2013) - [j8]Hock Hee Ang, Vivekanand Gopalkrishnan, Indre Zliobaite
Predictive Handling of Asynchronous Concept Drifts in Distributed Environments. IEEE Trans. Knowl. Data Eng. 25(10): 2343-2355 (2013) - 2012
- [j7]Bin Li, Peilin Zhao, Steven C. H. Hoi
PAMR: Passive aggressive mean reversion strategy for portfolio selection. Mach. Learn. 87(2): 221-258 (2012) - [c36]Vivekanand Gopalkrishnan, David M. Steier, Harvey Lewis, James Guszcza:
Big data, big business: bridging the gap. BigMine 2012: 7-11 - 2011
- [j6]Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan:
Class description using partial coverage of subspaces. Expert Syst. Appl. 38(10): 12035-12043 (2011) - [j5]Kelvin Sim, Guimei Liu
A case study on financial ratios via cross-graph quasi-bicliques. Inf. Sci. 181(1): 201-216 (2011) - [j4]Bin Li, Steven C. H. Hoi
CORN: Correlation-driven nonparametric learning approach for portfolio selection. ACM Trans. Intell. Syst. Technol. 2(3): 21:1-21:29 (2011) - [c35]Hoang Vu Nguyen, Vivekanand Gopalkrishnan, Ira Assent
An Unbiased Distance-Based Outlier Detection Approach for High-Dimensional Data. DASFAA (1) 2011: 138-152 - [c34]Bin Li, Steven C. H. Hoi, Peilin Zhao, Vivekanand Gopalkrishnan:
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection. AISTATS 2011: 434-442 - 2010
- [j3]Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi:
P2PDocTagger: Content management through automated P2P collaborative tagging. Proc. VLDB Endow. 3(2): 1601-1604 (2010) - [c33]Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi
Adaptive Ensemble Classification in P2P Networks. DASFAA (1) 2010: 34-48 - [c32]Hoang Vu Nguyen, Hock Hee Ang, Vivekanand Gopalkrishnan:
Mining Outliers with Ensemble of Heterogeneous Detectors on Random Subspaces. DASFAA (1) 2010: 368-383 - [c31]Quach Vinh Thanh, Vivekanand Gopalkrishnan, Hock Hee Ang:
Distributed Classification on Peers with Variable Data Spaces and Distributions. ICDM Workshops 2010: 88-95 - [c30]Kelvin Sim, Zeyar Aung
Discovering Correlated Subspace Clusters in 3D Continuous-Valued Data. ICDM 2010: 471-480 - [c29]Hock Hee Ang, Vivekanand Gopalkrishnan, Anwitaman Datta
Satrap: Data and Network Heterogeneity Aware P2P Data-Mining. PAKDD (2) 2010: 63-70 - [c28]Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng
On Classifying Drifting Concepts in P2P Networks. ECML/PKDD (1) 2010: 24-39 - [c27]Kelvin Sim, Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan:
Mining Actionable Subspace Clusters in Sequential Data. SDM 2010: 442-453 - [c26]Hoang Vu Nguyen, Vivekanand Gopalkrishnan:
Feature Extraction for Outlier Detection in High-Dimensional Spaces. FSDM 2010: 66-75 - [p1]Manoranjan Dash, Vivekanand Gopalkrishnan:
Simultaneous Feature Selection and Tuple Selection for Efficient Classification. Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development 2010: 270-285
2000 – 2009
- 2009
- [j2]Haifeng Liu, Vivekanand Gopalkrishnan, Thi Nhu Quynh Kim, Wee Keong Ng
Regression models for estimating product life cycle cost. J. Intell. Manuf. 20(4): 401-408 (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. Stat. Anal. Data Min. 2(4): 255-273 (2009) - [c25]Hoang Vu Nguyen, Vivekanand Gopalkrishnan:
Epsilon Equitable Partition: On Scheduling Data Loading and View Maintenance in Soft Real-time Data Warehouses. COMAD 2009 - [c24]Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan:
PUB: A Class Description Technique Based on Partial Coverage of Subspace. ICDM 2009: 920-925 - [c23]Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan:
CP-summary: a concise representation for browsing frequent itemsets. KDD 2009: 687-696 - [c22]Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan:
Towards efficient mining of proportional fault-tolerant frequent itemsets. KDD 2009: 697-706 - [c21]Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng
Communication-Efficient Classification in P2P Networks. ECML/PKDD (1) 2009: 83-98 - [c20]Hoang Vu Nguyen, Vivekanand Gopalkrishnan:
Efficient Pruning Schemes for Distance-Based Outlier Detection. ECML/PKDD (2) 2009: 160-175 - [c19]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 - [c18]Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan:
Efficient Computation of Partial-Support for Mining Interesting Itemsets. SDM 2009: 1014-1025 - 2008
- [c17]Manoranjan Dash, Vivekanand Gopalkrishnan:
Distance Based Feature Selection for Clustering Microarray Data. DASFAA 2008: 512-519 - [c16]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 - [c15]Vivekanand Gopalkrishnan:
Querying time-series streams. EDBT 2008: 547-558 - [c14]Viet-An Nguyen, Vivekanand Gopalkrishnan:
Rule Evolution Approach for Mining Multivariate Time Series Data. ICEIS (2) 2008: 19-26 - [c13]Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi
Cascade RSVM in Peer-to-Peer Networks. ECML/PKDD (1) 2008: 55-70 - [c12]Jashanjot Singh Sekhon, Vivekanand Gopalkrishnan, Wee Keong Ng
Proportionate feature selection - A pre-processing step for clustering. SMC 2008: 2622-2627 - [c11]Hoang Vu Nguyen, Vivekanand Gopalkrishnan, Praneeth Namburi:
Online Outlier Detection Based on Relative Neighbourhood Dissimilarity. WISE 2008: 50-61 - 2007
- [c10]Manoranjan Dash, Vivekanand Gopalkrishnan:
Two Way Focused Classification. DaWaK 2007: 345-354 - [c9]Haifeng Liu, Vivekanand Gopalkrishnan, Wee Keong Ng
Estimating product lifecycle cost using a hybrid approach. ICDIM 2007: 393-398 - [c8]Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan:
Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases. ICDM 2007: 272-281 - [c7]Sukanya Ramabadran, Vivekanand Gopalkrishnan:
Intelligent E-Learning Systems - An Intelligent Approach to Flexible Learning Methodologies. ICEIS (2) 2007: 107-112 - 2006
- [c6]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 - [c5]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
- [c4]Vivekanand Gopalkrishnan, Qing Li, Kamalakar Karlapalem:
Efficient query processing with associated horizontal class partitioning in an object relational data warehousing environment. DMDW 2000: 4 - [c3]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
1990 – 1999
- 1999
- [c2]Vivekanand Gopalkrishnan, Qing Li, Kamalakar Karlapalem:
Star/Snow-Flake Schema Driven Object-Relational Data Warehouse - Design and Query Processing Strategies. DaWaK 1999: 11-22 - 1998
- [c1]Vivekanand Gopalkrishnan, Qing Li
Issues of object-relational view design in data warehousing environment. SMC 1998: 2732-2737
Coauthor Index
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