Kamalika Das, PhD
Kamalika Das, PhD
Data Science, Intuit
Verified email at - Homepage
Cited by
Cited by
Multi-party, privacy-preserving distributed data mining using a game theoretic framework
H Kargupta, K Das, K Liu
European Conference on Principles of Data Mining and Knowledge Discovery …, 2007
Discovering anomalous aviation safety events using scalable data mining algorithms
B Matthews, S Das, K Bhaduri, K Das, R Martin, N Oza
Journal of Aerospace Information Systems 10 (10), 467-475, 2013
Cloud detection algorithm for multi-modal satellite imagery using convolutional neural-networks (CNN)
M Segal-Rozenhaimer, A Li, K Das, V Chirayath
Remote Sensing of Environment 237, 111446, 2020
Privacy-preserving data analysis on graphs and social networks
K Liu, K Das, T Grandison, H Kargupta
Next Generation Data Mining. CRC Press, 2008
Localizing anomalous changes in time-evolving graphs
K Sricharan, K Das
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
Client-side web mining for community formation in peer-to-peer environments
K Liu, K Bhaduri, K Das, P Nguyen, H Kargupta
ACM SIGKDD Explorations Newsletter 8 (2), 11-20, 2006
A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks
K Das, K Bhaduri, H Kargupta
Knowledge and Information Systems 24 (3), 341-367, 2010
Distributed identification of top-l inner product elements and its application in a peer-to-peer network
K Das, K Bhaduri, K Liu, H Kargupta
IEEE Transactions on Knowledge and Data Engineering 20 (4), 475-488, 2008
Detecting abnormal machine characteristics in cloud infrastructures
K Bhaduri, K Das, BL Matthews
2011 IEEE 11th International Conference on Data Mining Workshops, 137-144, 2011
A game theoretic approach toward multi-party privacy-preserving distributed data mining
H Kargupta, K Das, K Liu
Proceedings of the PKDD, 2007
Distributed anomaly detection using 1‐class SVM for vertically partitioned data
K Das, K Bhaduri, P Votava
Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (4 …, 2011
Block-GP: Scalable Gaussian process regression for multimodal data
K Das, AN Srivastava
2010 IEEE International Conference on Data Mining, 791-796, 2010
Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation
M Sharma, K Das, M Bilgic, B Matthews, D Nielsen, N Oza
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
PerCCS: person-count from carbon dioxide using sparse non-negative matrix factorization
C Basu, C Koehler, K Das, AK Dey
Proceedings of the 2015 ACM International Joint Conference on Pervasive and …, 2015
Scalable distributed change detection from astronomy data streams using local, asynchronous eigen monitoring algorithms
K Das, K Bhaduri, S Arora, W Griffin, K Borne, C Giannella, H Kargupta
Proceedings of the 2009 SIAM International Conference on Data Mining, 247-258, 2009
Distributed Data Mining Bibliography
K Bhaduri, K Das, K Liu, H Kargupta, J Ryan
Distributed Data Mining Bibliography, 2011
Anomaly detection in vertically partitioned data by distributed core vector machines
M Stolpe, K Bhaduri, K Das, K Morik
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
Distributed Support Vector Machines: An Overview
M Stolpe, K Bhaduri, K Das
Solving Large Scale Learning Tasks. Challenges and Algorithms, 109-138, 2016
Distributed Anomaly Detection using Satellite Data From Multiple Modalitie.
K Bhaduri, K Das, P Votava
CIDU, 109-123, 2010
Scalable, asynchronous, distributed eigen monitoring of astronomy data streams
K Bhaduri, K Das, K Borne, C Giannella, T Mahule, H Kargupta
Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (3 …, 2011
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