Varun Chandola

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Vipin KumarUniversity of MinnesotaVerified email at umn.edu
Ranga Raju VatsavaiCFEP Professor, Computer Science Dept., NCSUVerified email at ncsu.edu
Arindam BanerjeeFounder Professor, Dept of Computer Science, University of Illinois Urbana-ChampaignVerified email at illinois.edu
Budhendra BhaduriOak Ridge National LaboratoryVerified email at ornl.gov
Shyam BoriahXylemVerified email at cs.umn.edu
Duc Thanh Anh LuongGlassdoorVerified email at glassdoor.com
Auroop R GangulyCollege of Engineering Distinguished Professor, Fellow ASCE, Northeastern University, Boston, MAVerified email at northeastern.edu
Anil CheriyadatResearch Scientist Oak Ridge National LaboratoryVerified email at ornl.gov
Eddie BrightDistinguished Research Scientist, Oak Ridge National LaboratoryVerified email at ornl.gov
Gyorgy SimonMayo Clinic, University of MinnesotaVerified email at umn.edu
Abani PatraProfessor Mathematics and Computer ScienceVerified email at tufts.edu
Jaideep SrivastavaProfessor, University of MinnesotaVerified email at umn.edu
Gökhan KulUniversity of Massachusetts DartmouthVerified email at umassd.edu
Shambhu UpadhyayaProfessor of Computer Science and Engineering, University at BuffaloVerified email at buffalo.edu
Oliver A. KennedyAssociate Professor, University at BuffaloVerified email at buffalo.edu
Ting XieDatabricksVerified email at databricks.com
Anthony StefanidisProfessor of Data Science, College of William and MaryVerified email at wm.edu
Jack SchryverSenior Research Staff, Oak Ridge National LaboratoryVerified email at mindspring.com
Ryan McManamayBaylor UniversityVerified email at vt.edu
Jibonananda SanyalNational Renewable Energy LaboratoryVerified email at nrel.gov

Varun Chandola

Associate Professor, Computer Science Department, University at Buffalo

Verified email at buffalo.edu - Homepage

Data Mining Anomaly Detection Machine Learning


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Anomaly detection: A survey V Chandola, A Banerjee, V Kumar ACM computing surveys (CSUR) 41 (3), 1-58, 2009	13246	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	805	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	727	2010
Outlier detection: A survey V Chandola, A Banerjee, V Kumar ACM Computing Surveys 14, 15, 2007	412	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	215	2008
Summarization–compressing data into an informative representation V Chandola, V Kumar Knowledge and Information Systems 12, 355-378, 2007	187	2007
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	183	2012
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	177	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	152	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	82	2011
Detecting anomalies in a time series database V Chandola, D Cheboli, V Kumar	80	2009
Anomaly detection for symbolic sequences and time series data V Chandola University of Minnesota, 2009	78	2009
Anomaly detection: A tutorial A Banerjee, V Chandola, V Kumar, J Srivastava, A Lazarevic Tutorial SIAM Conf. on Data Mining, 2008	60	2008
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	52	2006
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	51	2018
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	49	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	44	2011
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	42	2018
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
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	37	2016

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