Kumar, Vipin

Anomaly detection: A survey

Chandola, V., Banerjee, A., & Kumar, V. (2009) · ACM Computing Surveys

Anomaly Detection Techniques and ApplicationsSoftware System Performance and Reliability

Cited by 11,687

Top 10 algorithms in data mining

Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., et al. (2008) · Knowledge and Information Systems

Data Mining Algorithms and ApplicationsData Mining and Machine Learning Applications

Cited by 5,667

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

Karpatne, A., Atluri, G., Faghmous, J. H., Steinbach, M., Banerjee, A., Ganguly, A., Shekhar, S., Samatova, N., & Kumar, V. (2017) · IEEE Transactions on Knowledge and Data Engineering

Model Reduction and Neural NetworksMachine Learning in Materials Science

Cited by 1,752

A daily global mesoscale ocean eddy dataset from satellite altimetry

Faghmous, J. H., Frenger, I., Yao, Y., Warmka, R., Lindell, A., & Kumar, V. (2015) · Scientific Data

Oceanographic and Atmospheric ProcessesArctic and Antarctic ice dynamics

Cited by 374

Genome-wide mapping of methylated adenine residues in pathogenic Escherichia coli using single-molecule real-time sequencing

Fang, G., Munera, D., Friedman, D. I., Mandlik, A., Chao, M. C., Banerjee, O., Feng, Z., Losic, B., Mahajan, M. C., Jabado, O. J., et al. (2012) · Nature Biotechnology

Epigenetics and DNA MethylationRNA modifications and cancer

Cited by 360

A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science

Faghmous, J. H., & Kumar, V. (2014) · Big Data

Big Data Technologies and ApplicationsClimate variability and models

Cited by 223

An approach for global monitoring of surface water extent variations in reservoirs using MODIS data

Khandelwal, A., Karpatne, A., Marlier, M. E., Kim, J., Lettenmaier, D. P., & Kumar, V. (2017) · Remote Sensing of Environment

Remote-Sensing Image ClassificationFlood Risk Assessment and Management

Cited by 197

Land cover change detection: a case study

Boriah, S., Kumar, V., Steinbach, M., Potter, C., & Klooster, S. (2008) · Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Remote-Sensing Image ClassificationRemote Sensing and Land Use

Cited by 43

Theory-Guided Data Science for Climate Change

Faghmous, J. H., Banerjee, A., Shekhar, S., Steinbach, M., Kumar, V., Ganguly, A. R., & Samatova, N. (2014) · Computer

Climate variability and modelsSpatial and Panel Data Analysis

Cited by 42

Terrestrial vegetation dynamics and global climate controls

Potter, C., Boriah, S., Steinbach, M., Kumar, V., & Klooster, S. (2008) · Climate Dynamics

Remote Sensing in AgricultureClimate variability and models

Cited by 42

A graph‐based approach to find teleconnections in climate data

Kawale, J., Liess, S., Kumar, A., Steinbach, M., Snyder, P., Kumar, V., Ganguly, A. R., Samatova, N. F., & Semazzi, F. (2013) · Statistical Analysis and Data Mining: The ASA Data Science Journal

Climate variability and modelsEcosystem dynamics and resilience

Cited by 37

Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances

Khandelwal, A., Mithal, V., & Kumar, V. (2015) · 2015 IEEE International Conference on Data Mining

Machine Learning and Data ClassificationRemote-Sensing Image Classification

Cited by 21

Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field

Faghmous, J., Nguyen, H., Le, M., & Kumar, V. (2014) · Proceedings of the AAAI Conference on Artificial Intelligence

Oceanographic and Atmospheric ProcessesArctic and Antarctic ice dynamics

Cited by 7

Computing and Climate

Faghmous, J. H., Kumar, V., & Shekhar, S. (2015) · Computing in Science & Engineering

Scientific Computing and Data ManagementEnergy Efficiency in Computing

Cited by 4