George Karypis

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Vipin KumarUniversity of MinnesotaEmail confirmado em umn.edu
Eui-Hong HanThe Washington PostEmail confirmado em cs.umn.edu
Badrul M. SarwarMachine Learning Scientist, LinkedInEmail confirmado em linkedin.com
Anshul GuptaRSM, IBM ResearchEmail confirmado em us.ibm.com
Huzefa RangwalaProfessor of Computer Science, George Mason/ ML Scientist, AmazonEmail confirmado em cs.gmu.edu
Xia NingProfessor, Biomedical Informatics, Computer Science and Engineering, The Ohio StateEmail confirmado em osu.edu
Da ZhengAmazonEmail confirmado em amazon.com
Joseph A. KonstanUniversity of MinnesotaEmail confirmado em umn.edu
Xiang SongSenior Applied Scientist at Amazon AWSEmail confirmado em amazon.com
Mukund DeshpandePersistent SystemsEmail confirmado em cs.umn.edu
Shaden SmithPrincipal Research SDE, MicrosoftEmail confirmado em microsoft.com
Wei-Shou HuUniversity of Minnesota Twin CitiesEmail confirmado em umn.edu
Bamshad MobasherSchool of Computing, DePaul UniversityEmail confirmado em cs.depaul.edu
Timothy W Behrens MDHIBio Inc.Email confirmado em hibio.com
Vassilis N. Ioannidis, PhDAmazonEmail confirmado em umn.edu
Christian DesrosiersProfessor, École de technologie supérieure - LIVIA - Regroupement stratégique REPARTIEmail confirmado em etsmtl.ca
Zheng ZhangProfessor of Computer Science and Engineering, NYU Shanghai; Director, Amazon Shanghai AI LabEmail confirmado em nyu.edu
Michael SteinbachUniversity of MinnesotaEmail confirmado em umn.edu
Jianyong WangTsinghua UniversityEmail confirmado em tsinghua.edu.cn
Peter K. GregersenHead, Robert S. Boas Center for Genomics and Human GeneticsEmail confirmado em nshs.edu

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George Karypis

Distinguished McKnight University Professor, University of Minnesota; SPS, AWS

Email confirmado em umn.edu - Página inicial

Data mining Parallel computing Recommender systems Graph machine learning Chemical informatics


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Item-based collaborative filtering recommendation algorithms B Sarwar, G Karypis, J Konstan, J Riedl Proceedings of the 10th international conference on World Wide Web, 285-295, 2001	12321	2001
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	7394	1998
A comparison of document clustering techniques M Steinbach, G Karypis, V Kumar TextMining Workshop at KDD2000 (May 2000), 2000	4058	2000
Chameleon: Hierarchical clustering using dynamic modeling G Karypis, EH Han, V Kumar Computer 32 (8), 68-75, 1999	3436	1999
Item-based top-n recommendation algorithms M Deshpande, G Karypis ACM Transactions on Information Systems (TOIS) 22 (1), 143-177, 2004	3216	2004
Introduction to parallel computing, 2ed A Grama, V Kumar, A Gupta, G Karypis Pearson Education, 2003	3047	2003
Introduction to Parallel Computing V Kumar, A Grama, A Gupta, G Karypis Benjamin Cummings/Addison Wesley, 1994	3032	1994
Analysis of recommendation algorithms for e-commerce B Sarwar, G Karypis, J Konstan, J Riedl Proceedings of the 2nd ACM Conference on Electronic Commerce, 158-167, 2000	2975	2000
Interferon-inducible gene expression signature in peripheral blood cells of patients with severe lupus EC Baechler, FM Batliwalla, G Karypis, PM Gaffney, WA Ortmann, ... Proceedings of the National Academy of Sciences 100 (5), 2610-2615, 2003	2460	2003
Application of dimensionality reduction in recommender system-a case study B Sarwar, G Karypis, J Konstan, JT Riedl	2363	2000
Multilevel k-way Partitioning Scheme for Irregular Graphs G Karypis, V Kumar Journal of Parallel and Distributed computing 48 (1), 96-129, 1998	2309	1998
Multilevel hypergraph partitioning: Application in VLSI domain G Karypis, R Aggarwal, V Kumar, S Shekhar Proceedings of the 34th annual Design Automation Conference, 526-529, 1997	1889	1997
Frequent subgraph discovery M Kuramochi, G Karypis Proceedings 2001 IEEE international conference on data mining, 313-320, 2001	1628	2001
METIS: A software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reducing orderings of sparse matrices G Karypis, V Kumar Department of Computer Science, University of Minnesota, 1997	1620	1997
Evaluation of Item-Based Top-N Recommendation Algorithms G Karypis Proceedings of the tenth international conference on Information and …, 2001	1058	2001
Criterion functions for document clustering: Experiments and analysis Y Zhao, G Karypis	1012	2001
METIS: Unstructured graph partitioning and sparse matrix ordering system G Karypis Technical report, 1997	995	1997
A comprehensive survey of neighborhood-based recommendation methods C Desrosiers, G Karypis Recommender systems handbook, 107-144, 2010	986	2010
Multilevel K-way hypergraph partitioning G Karypis, V Kumar Proceedings of ACM/IEEE Design Automation Conference, 343-348, 1999	952	1999
Evaluation of hierarchical clustering algorithms for document datasets Y Zhao, G Karypis Proceedings of the eleventh international conference on Information and …, 2002	917	2002

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