Vipin Kumar - Google Scholar Citations

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George KarypisProfessor, Department of Computer Science & Engineering, University of MinnesotaVerified email at umn.edu
Michael SteinbachUniversity of MinnesotaVerified email at umn.edu
Pang-Ning TanProfessor of Computer Science, Michigan State UniversityVerified email at cse.msu.edu
Anshul GuptaRSM, IBM ResearchVerified email at us.ibm.com
Varun ChandolaAssistant Professor, Computer Science Department, University at BuffaloVerified email at buffalo.edu
Eui-Hong HanThe Washington PostVerified email at cs.umn.edu
Jaideep SrivastavaProfessor, University of MinnesotaVerified email at cs.umn.edu
Christopher PotterNASAVerified email at nasa.gov
Shashi ShekharMcKnight Distinguished University Professor of Computer Science, University of MinnesotaVerified email at umn.edu
Shyam BoriahGEVerified email at cs.umn.edu
Levent ErtozVerified email at leventertoz.com
Arindam BanerjeeProfessor, Computer Science & Engineering, University of Minnesota, Twin CitiesVerified email at cs.umn.edu
Hui XiongProfessor of Data Mining, Rutgers UniversityVerified email at rutgers.edu
Gowtham AtluriAsst. Professor, Dept. of EECS, University of CincinnatiVerified email at ucmail.uc.edu
Gaurav PandeyIcahn School of Medicine at Mount SinaiVerified email at mssm.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Bamshad MobasherSchool of Computing, DePaul UniversityVerified email at cs.depaul.edu
Maria GiniProfessor of Computer Science and Engineering, University of MinnesotaVerified email at umn.edu
Ankush KhandelwalUniversity of MinnesotaVerified email at umn.edu
Xindong WuMininglamp Academy of SciencesVerified email at mininglamp.com

Vipin Kumar

University of Minnesota

Verified email at umn.edu - Homepage

Data mining parallel computing high performance computing climate informatics machine learning


Title	Cited by	Year
Introduction to data mining PN Tan Pearson Education India, 2018	12328	2018
Anomaly detection: A survey V Chandola, A Banerjee, V Kumar ACM computing surveys (CSUR) 41 (3), 15, 2009	6891	2009
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	5417	1998
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	4409	2008
A comparison of document clustering techniques M Steinbach, G Karypis, V Kumar KDD workshop on text mining 400 (1), 525-526, 2000	3237	2000
Chameleon: Hierarchical clustering using dynamic modeling G Karypis, EHS Han, V Kumar Computer, 68-75, 1999	2721	1999
Introduction to parallel computing V Kumar Addison-Wesley Longman Publishing Co., Inc., 2002	2600	2002
Introduction to parallel computing A Grama, V Kumar, A Gupta, G Karypis Pearson Education, 2003	2441	2003
Multilevelk-way partitioning scheme for irregular graphs G Karypis, V Kumar Journal of Parallel and Distributed computing 48 (1), 96-129, 1998	1868	1998
Algorithms for constraint-satisfaction problems: A survey V Kumar AI magazine 13 (1), 32-32, 1992	1507	1992
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	1499	1999
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	1377*	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	1122	2002
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	922	2003
Multilevel k-way hypergraph partitioning G Karypis, V Kumar VLSI design 11 (3), 285-300, 2000	760	2000
Parallel multilevel series k-way partitioning scheme for irregular graphs G Karypis, V Kumar Siam Review 41 (2), 278-300, 1999	733	1999
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	725	2003
The top ten algorithms in data mining X Wu, V Kumar CRC press, 2009	663	2009
Trends in big data analytics K Kambatla, G Kollias, V Kumar, A Grama Journal of Parallel and Distributed Computing 74 (7), 2561-2573, 2014	618	2014
Selecting the right objective measure for association analysis PN Tan, V Kumar, J Srivastava Information Systems 29 (4), 293-313, 2004	577	2004

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