Varun Chandola 个人学术档案

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

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Varun Chandola

Associate Professor, Computer Science Department, University at Buffalo

在 buffalo.edu 的电子邮件经过验证 - 首页

Data Mining Anomaly Detection Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Anomaly detection: A survey V Chandola, A Banerjee, V Kumar ACM computing surveys (CSUR) 41 (3), 1-58, 2009	14461	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	853	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	805	2010
Outlier detection: A survey V Chandola, A Banerjee, V Kumar ACM Computing Surveys 14, 15, 2007	482	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	224	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	195	2012
Summarization–compressing data into an informative representation V Chandola, V Kumar Knowledge and Information Systems 12, 355-378, 2007	194	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	187	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	157	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	85	2011
Detecting anomalies in a time series database V Chandola, D Cheboli, V Kumar	85	2009
Anomaly detection for symbolic sequences and time series data V Chandola University of Minnesota, 2009	83	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	59	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	53	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 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	50	2018
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
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
Using time series segmentation for deriving vegetation phenology indices from MODIS NDVI data V Chandola, D Hui, L Gu, B Bhaduri, RR Vatsavai 2010 IEEE International Conference on Data Mining Workshops, 202-208, 2010	36	2010

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