Hillol Kargupta
Affiliations: | Washington State University, Pullman, WA, United States | ||
| University of Maryland, Baltimore County, Baltimore, MD, United States |
Area:
Computer ScienceGoogle:
"Hillol Kargupta"
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Publications
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| Giannella CR, Liu K, Kargupta H. (2013) Breaching Euclidean distance-preserving data perturbation using few known inputs Data and Knowledge Engineering. 83: 93-110 |
| Morik K, Bhaduri K, Kargupta H. (2012) Introduction to data mining for sustainability Data Mining and Knowledge Discovery. 24: 311-324 |
| Kargupta H. (2012) Making data analysis ubiquitous: My journey through academia and industry Journeys to Data Mining: Experiences From 15 Renowned Researchers. 2147483647: 111-130 |
| Zhu X, Mahule T, Dutta H, et al. (2012) Peer-to-peer distributed text classifier learning in PADMINI Statistical Analysis and Data Mining. 5: 446-462 |
| Das K, Bhaduri K, Kargupta H. (2011) Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks Peer-to-Peer Networking and Applications. 4: 192-209 |
| Bhaduri K, Das K, Borne K, et al. (2011) Scalable, asynchronous, distributed eigen monitoring of astronomy data streams Statistical Analysis and Data Mining. 4: 336-352 |
| Kargupta H, Sarkar K, Gilligan M. (2010) MineFleet®*: An overview of a widely adopted distributed vehicle performance data mining system Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 37-46 |
| Das K, Bhaduri K, Kargupta H. (2010) A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks Knowledge and Information Systems. 24: 341-367 |
| Kargupta H, Gilligan M, Puttagunta V, et al. (2010) MineFleet®: The vehicle data stream mining system for ubiquitous environments Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6202: 235-254 |
| Mahule T, Borne K, Dey S, et al. (2010) Padmini: A peer-to-peer distributed astronomy data mining system and a case study Proceedings of the 2010 Conference On Intelligent Data Understanding, Cidu 2010. 243-257 |