Vipin Kumar
TitleCited byYear
Introduction to data mining
PN Tan
Pearson Education India, 2018
119482018
Anomaly detection: A survey
V Chandola, A Banerjee, V Kumar
ACM computing surveys (CSUR) 41 (3), 15, 2009
66202009
A fast and high quality multilevel scheme for partitioning irregular graphs
G Karypis, V Kumar
SIAM Journal on scientific Computing 20 (1), 359-392, 1998
53451998
Top 10 algorithms in data mining
X Wu, V Kumar, JR Quinlan, J Ghosh, Q Yang, H Motoda, GJ McLachlan, ...
Knowledge and information systems 14 (1), 1-37, 2008
42542008
Chameleon: Hierarchical clustering using dynamic modeling
G Karypis, EHS Han, V Kumar
Computer, 68-75, 1999
26761999
Introduction to parallel computing
A Grama, V Kumar, A Gupta, G Karypis
Pearson Education, 2003
23872003
Multilevelk-way partitioning scheme for irregular graphs
G Karypis, V Kumar
Journal of Parallel and Distributed computing 48 (1), 96-129, 1998
18491998
Algorithms for constraint-satisfaction problems: A survey
V Kumar
AI magazine 13 (1), 32-32, 1992
14901992
Multilevel hypergraph partitioning: applications in VLSI domain
G Karypis, R Aggarwal, V Kumar, S Shekhar
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 7 (1), 69-79, 1999
14861999
METIS, a software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reducing orderings of sparse matrices version 4.0
G Karypis
http://glaros. dtc. umn. edu/gkhome/metis/metis/download, 1998
1364*1998
Selecting the right interestingness measure for association patterns
PN Tan, V Kumar, J Srivastava
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
11042002
A comparative study of anomaly detection schemes in network intrusion detection
A Lazarevic, L Ertoz, V Kumar, A Ozgur, J Srivastava
Proceedings of the 2003 SIAM International Conference on Data Mining, 25-36, 2003
9052003
Multilevel k-way hypergraph partitioning
G Karypis, V Kumar
VLSI design 11 (3), 285-300, 2000
7542000
Parallel multilevel series k-way partitioning scheme for irregular graphs
G Karypis, V Kumar
Siam Review 41 (2), 278-300, 1999
7221999
Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data
L Ertöz, M Steinbach, V Kumar
Proceedings of the 2003 SIAM international conference on data mining, 47-58, 2003
7112003
The top ten algorithms in data mining
X Wu, V Kumar
CRC press, 2009
6362009
Trends in big data analytics
K Kambatla, G Kollias, V Kumar, A Grama
Journal of Parallel and Distributed Computing 74 (7), 2561-2573, 2014
5862014
Selecting the right objective measure for association analysis
PN Tan, V Kumar, J Srivastava
Information Systems 29 (4), 293-313, 2004
5622004
Similarity measures for categorical data: A comparative evaluation
S Boriah, V Chandola, V Kumar
Proceedings of the 2008 SIAM international conference on data mining, 243-254, 2008
5122008
Multilevel algorithms for multi-constraint graph partitioning
G Karypis, V Kumar
SC'98: Proceedings of the 1998 ACM/IEEE Conference on Supercomputing, 28-28, 1998
4991998
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