Varun Chandola
Varun Chandola
Associate Professor, Computer Science Department, University at Buffalo
Zweryfikowany adres z buffalo.edu - Strona główna
Cytowane przez
Cytowane przez
Anomaly detection: A survey
V Chandola, A Banerjee, V Kumar
ACM computing surveys (CSUR) 41 (3), 1-58, 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
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
Outlier detection: A survey
V Chandola, A Banerjee, V Kumar
ACM Computing Surveys 14, 15, 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
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
Summarization–compressing data into an informative representation
V Chandola, V Kumar
Knowledge and Information Systems 12, 355-378, 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
Knowledge discovery from massive healthcare claims data
V Chandola, SR Sukumar, JC Schryver
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
Detecting anomalies in a time series database
V Chandola, D Cheboli, V Kumar
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
Anomaly detection for symbolic sequences and time series data
V Chandola
University of Minnesota, 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
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
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
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
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
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
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
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
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