Varun Chandola

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	すべて	2020 年以来
引用	20425	9926
h 指標	27	19
i10 指標	45	33

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オープンアクセス

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24 件の論文

3 件の論文

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Vipin KumarUniversity of Minnesota確認したメールアドレス: umn.edu
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-Champaign確認したメールアドレス: illinois.edu
Ranga Raju VatsavaiCFEP Professor, Computer Science Dept., NCSU確認したメールアドレス: ncsu.edu
Budhendra BhaduriOak Ridge National Laboratory確認したメールアドレス: ornl.gov
Shyam BoriahXylem確認したメールアドレス: cs.umn.edu
Duc Thanh Anh LuongGlassdoor確認したメールアドレス: glassdoor.com
Auroop R GangulyCOE Distinguished Professor, Fellow ASCE, Distinguished Member ACM, Northeastern University, Boston確認したメールアドレス: northeastern.edu
Anil CheriyadatResearch Scientist Oak Ridge National Laboratory確認したメールアドレス: ornl.gov
Eddie BrightDistinguished Research Scientist, Oak Ridge National Laboratory確認したメールアドレス: ornl.gov
Abani PatraProfessor Mathematics and Computer Science確認したメールアドレス: tufts.edu
Gyorgy SimonMayo Clinic, University of Minnesota確認したメールアドレス: umn.edu
Gökhan KulUniversity of Massachusetts Dartmouth確認したメールアドレス: umassd.edu
Shambhu UpadhyayaProfessor of Computer Science and Engineering, University at Buffalo確認したメールアドレス: buffalo.edu
Jaideep SrivastavaProfessor, University of Minnesota確認したメールアドレス: umn.edu
Anthony StefanidisProfessor of Data Science, College of William and Mary確認したメールアドレス: wm.edu
Oliver A. KennedyAssociate Professor, University at Buffalo確認したメールアドレス: buffalo.edu
Ting XieDatabricks確認したメールアドレス: databricks.com
Ryan McManamayBaylor University確認したメールアドレス: vt.edu
Jibonananda SanyalNational Renewable Energy Laboratory確認したメールアドレス: nrel.gov
Robert N StewartScientist, Oak Ridge National Laboratory, Geography Professor, UTK確認したメールアドレス: ornl.gov

フォロー

Varun Chandola

Associate Professor, Computer Science Department, University at Buffalo

確認したメールアドレス: buffalo.edu - ホームページ

Data Mining Anomaly Detection Machine Learning


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Anomaly detection: A survey V Chandola, A Banerjee, V Kumar ACM computing surveys (CSUR) 41 (3), 1-58, 2009	15758	2009
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	888	2008
Anomaly detection for discrete sequences: A survey V Chandola, A Banerjee, V Kumar IEEE transactions on knowledge and data engineering 24 (5), 823-839, 2010	855	2010
Outlier detection: A survey V Chandola, A Banerjee, V Kumar ACM Computing Surveys 14, 15, 2007	510	2007
Comparative evaluation of anomaly detection techniques for sequence data V Chandola, V Mithal, V Kumar 2008 Eighth IEEE international conference on data mining, 743-748, 2008	233	2008
Spatiotemporal data mining in the era of big spatial data: algorithms and applications RR Vatsavai, A Ganguly, V Chandola, A Stefanidis, S Klasky, S Shekhar Proceedings of the 1st ACM SIGSPATIAL international workshop on analytics …, 2012	199	2012
Summarization–compressing data into an informative representation V Chandola, V Kumar Knowledge and Information Systems 12, 355-378, 2007	198	2007
Image based characterization of formal and informal neighborhoods in an urban landscape J Graesser, A Cheriyadat, RR Vatsavai, V Chandola, J Long, E Bright IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2012	195	2012
Knowledge discovery from massive healthcare claims data V Chandola, SR Sukumar, JC Schryver Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	171	2013
A gaussian process based online change detection algorithm for monitoring periodic time series V Chandola, RR Vatsavai Proceedings of the 2011 SIAM international conference on data mining, 95-106, 2011	91	2011
Detecting anomalies in a time series database V Chandola, D Cheboli, V Kumar	90	2009
Anomaly detection for symbolic sequences and time series data V Chandola University of Minnesota, 2009	85	2009
Similarity metrics for SQL query clustering G Kul, DTA Luong, T Xie, V Chandola, O Kennedy, S Upadhyaya IEEE Transactions on Knowledge and Data Engineering 30 (12), 2408-2420, 2018	65	2018
Anomaly detection: A survey A Banerjee, V Chandola, V Kumar ACM computing surveys 41 (3), 58, 2009	57	2009
Machine learning for energy-water nexus: challenges and opportunities SMA Zaidi, V Chandola, MR Allen, J Sanyal, RN Stewart, BL Bhaduri, ... Big Earth Data 2 (3), 228-267, 2018	55	2018
Data mining for cyber security V Chandola, E Eilertson, L Ertoz, G Simon, V Kumar Data warehousing and data mining techniques for computer security 20, 2006	54	2006
Detection of Multi-Step Computer Processes Such as Network Intrusions V Chandola, E Eilertson, H Liu, M Shaneck, C Choi, G Simon, Y Kim, ... US Patent App. 11/794,941, 2008	52	2008
Machine learning approaches for high-resolution urban land cover classification: a comparative study RR Vatsavai, E Bright, C Varun, B Budhendra, A Cheriyadat, J Grasser Proceedings of the 2nd international conference on computing for geospatial …, 2011	49	2011
Ettu: Analyzing query intents in corporate databases G Kul, D Luong, T Xie, P Coonan, V Chandola, O Kennedy, S Upadhyaya Proceedings of the 25th international conference companion on world wide web …, 2016	43	2016
A scalable gaussian process analysis algorithm for biomass monitoring V Chandola, RR Vatsavai Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (4 …, 2011	42	2011

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