## Publications

**PhD Dissertation:**

- K. Bhaduri. Efficient Local Algorithms for Distributed Data Mining in Large Scale Peer to Peer Environments: A Deterministic Approach . PhD Thesis. University of Maryland Baltimore
County. May 2008.
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**Journals:**

- L. Knapen, A. Yasar, S. Cho, D. Keren, A. Dbai, T. Bellemans, D. Janssens, G. Wets, A. Schuster, I. Sharfman, K. Bhaduri.Exploiting Graph-Theoretic Tools for Matching in
Carpooling Applications. J. Ambient Intelligence and Humanized Computing. Volume 5, Issue 3, pp. 391-407. 2014.
**[pdf]** - S. Das, K. Bhaduri, N. Oza, A. Srivastava. nu-Anomica: A Fast Support Vector based Novelty Detection Technique. (in communication). 2012.
- B. Matthews, S. Das, K. Bhaduri, K. Das, R. Martin, N. Oza, A. Srivastava, J. Stutz. Discovering Anomalous Aviation Safety Events using Scalable Data Mining Algorithms. AIAA Journal of Aerospace Computing, Information, and Communication. Volume 10, Issue 10, pp. 467-475. Oct 2013.
- L. Ghaoui, G. Li, V. Duong, V. Pham, A. Srivastava, K. Bhaduri. Understanding Large Text Corpora via Sparse Machine Learning. Statistical Analysis and Data Mining Journal. Volume 6, Issue 3, pp. 221-242. June 2013.
**[pdf]** - K. Das, K. Bhaduri, P. Votava. Distributed Anomaly Detection using 1-class SVM for Vertically Partitioned Data. Statistical Analysis and Data Mining Journal. Volume 4, Issue 4, pp. 393-406. August 2011.
**[pdf]** - K. Bhaduri, K. Das, K. Borne, C. Giannella, T. Mahule, H. Kargupta. Scalable, Asynchronous, Distributed Eigen-Monitoring of Astronomy Data Streams. Statistical Analysis and Data Mining Journal. Volume 4, Issue 3, pp. 336-352. June 2011.
**[pdf]** - K. Das, K. Bhaduri, H. Kargupta. Multi-objective Optimization Based Privacy Preserving Distributed Data Mining in Peer-to-peer Networks. Peer-to-Peer Networking and Applications. Volume 4, Issue 2, pp. 192-209. 2011.
**[pdf]** - K. Bhaduri, M. Stefanski, A. Srivastava. Privacy Preservation through Random Nonlinear Distortion. IEEE Transactions on Systems, Man and Cybernetics, Part B. Volume 41, Issue 1, pp. 260-272. 2011.
**[pdf]** - K. Das, K. Bhaduri, H. Kargupta. A Local Asynchronous Distributed Privacy Preserving Feature Selection Algorithm for Large Peer-to-Peer Networks. Knowledge and Information Systems Journal. Volume 24, Issue 3, pp. 341-367. September 2010.
**[pdf]** - R. Wolff, K. Bhaduri, H. Kargupta. A Generic Local Algorithm for Mining Data Streams in Large Distributed Systems. IEEE Transactions on Knowledge and Data Engineering. Volume 21, Issue 4, pp. 465-478. April 2009.
**[pdf]** - K. Bhaduri, H. Kargupta. A Scalable Local Algorithm for Distributed Multivariate Regression. Statistical Analysis and Data Mining Journal. Volume 1, Issue 3, pp. 177-194. November 2008.
**[pdf]** - K. Bhaduri, R. Wolff, C. Giannella, H. Kargupta. Distributed Decision Tree Induction in Peer-to-Peer Systems. Statistical Analysis and Data Mining. Volume 1, Issue 2, pp. 85-103. June 2008.
**[pdf]** - K. Das, K. Bhaduri, K. Liu, H. Kargupta. Distributed Identification of Top-
*l*Inner Product Elements and its Application in a Peer-to-Peer Network. IEEE Transactions on Knowledge and Data Engineering. Volume 20, Issue 4, pp. 475-488. April 2008.**[pdf]** - S. Datta, K. Bhaduri, C. Giannella, R. Wolff, H. Kargupta. Distributed Data Mining in Peer-to-Peer Networks. IEEE Internet Computing special issue on Distributed Data Mining. Volume 10, Number 4, pp. 18-26. 2006.
**[pdf]** - K. Liu, K. Bhaduri, K. Das, P. Nguyen, H. Kargupta. Client-side Web Mining for Community Formation in Peer-to-Peer Environments. SIGKDD Explorations. Volume 8, Issue 2, pp. 11-20. December 2006.
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**Book Chapters:**

- K. Bhaduri, M. Stolpe. Distributed Data Mining in Sensor Networks. A chapter in
*Managing and Mining Sensor Data*, C. Aggarwal (editor), Springer. pp. 211-236. 2013. - K. Das, K. Bhaduri. Parallel and Distributed Data Mining for Astronomy Applications. A chapter in
*Data Mining and Machine Learning for Astronomical Applications*, K. Ali, A. Srivastava, J. Scargle and M. Way (editor), Chapman & Hall/CRC Press. pp. 595-616. 2012. - K. Bhaduri, K. Das, K. Sivakumar, H. Kargupta, R. Wolff, R. Chen. Algorithms for Distributed Data Stream Mining. A chapter in
*Data Streams: Models and Algorithms*, C. Aggarwal (editor), Springer. pp. 309-332. 2006.

**Conferences and Workshops:**

- K. Das, K. Bhaduri, N. Oza. ParitoSVR: Parallel Iterated Optimizer for Support Vector Regression in the Primal. 2014 SDM Workshop on Optimization Methods for Anomaly Detection, pp. 3-5. 2014.
- M. Stolpe, K. Bhaduri, K. Das, K. Morik. Anomaly Detection in Large Data Sets by Vertically Distributed Core Vector Machines. Proceedings of ECML-PKDD, Part III, LNAI 8190, pp. 321--336. 2013.
**[pdf]** - K. Bhaduri, K. Das, B. Matthews. Detecting Abnormal Machine Characteristics in Cloud Infrastructures. IEEE ICDM workshop KDCloud, Vancouver, Canada. pp. 137-144. 2011.
**[pdf]** - L. Ghaoui, G. Li, V. Duong, V. Pham, A. Srivastava, K. Bhaduri. Sparse Machine Learning Methods For Understanding Large Text Corpora. NASA Conference on Intelligent Data Understanding, Mountain View, CA. pp. 159-173. 2011.
**[pdf]** - K. Bhaduri, B. Matthews, C. Giannella. Algorithms for Speeding up Distance-based Outlier Detection. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, San Diego. pp. 859-867. 2011.
**[pdf]** - K. Bhaduri, K. Das, C. Giannella. Distributed Monitoring of the R2 Statistic for Linear Regression. SIAM International Conference on Data Mining, Arizona. pp. 438-449. 2011.
**[pdf]** - K. Bhaduri, Q. Zhu, N. Oza, A. Srivastava. Fast and Flexible Multivariate Time Series Subsequence Search. IEEE International Conference on Data Mining, Sydney, Australia. pp. 48-57. 2010.
**[pdf]** - K. Bhaduri, K. Das, P. Votava. Distributed Anomaly Detection using Satellite Data From Multiple Modalities. NASA Conference on Intelligent Data Understanding, Mountain View, CA. pp. 109-123. 2010.
**[pdf]** - K. Bhaduri, A. Srivastava. A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks. IEEE International Conference on Data Mining, Miami. pp. 31-40. 2009.
**[pdf]** - S. Das, K. Bhaduri, N. Oza, A. Srivastava. nu-Anomica: A Fast Support Vector based Novelty Detection Technique. IEEE International Conference on Data Mining, Miami. pp. 101-109. 2009.
**[pdf]** - S. Das, B. Matthews, K. Bhaduri, N. Oza, A. Srivastava. Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams. NIPS 2009 Workshop on Understanding Multiple Kernel Learning Methods, Vancouver. 2009.
- K. Das, K. Bhaduri, H. Kargupta. A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation. IEEE International Conference on Peer-to-Peer Computing, Seattle. pp. 212-221. 2009. (
**Invited for a fast track submission to Springer Journal on Peer-to-Peer Networking and Applications (PPNA), as one of the outstanding papers of P2P'09**).**[pdf]** - K. Das, K. Bhaduri, S. Arora, W. Griffin, K. Borne, C. Giannella, H. Kargupta. Scalable Distributed Change Detection from Astronomy Data Streams using Local, Asynchronous Eigen Monitoring Algorithms. SIAM International Conference on Data Mining, Nevada. pp 245-256. 2009.
**[pdf]** - K. Bhaduri, H. Kargupta. An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks. SIAM International Conference on Data Mining, Atlanta. pp. 153-164. 2008. (
**Best of SDM'08, 6 out of 282 submissions**).**[pdf]** - R. Wolff, K. Bhaduri, H. Kargupta. Local L2 Thresholding Based Data Mining in Peer-to-Peer Systems. SIAM International Conference in Data Mining, Maryland, USA. pp. 430-441. 2006.
**[pdf]** - K. Liu, K. Bhaduri, K. Das, P. Nguyen, H. Kargupta. Client-side Web Mining for Community Formation in Peer-to-Peer Environments. SIGKDD workshop on web usage and analysis (WebKDD). Philadelphia, Pennsylvania, USA. 2006. (
**Selected as the most interesting paper from the WebKDD workshop**)**[pdf]** - K. Bhaduri, K. Das, H. Kargupta. Peer-to-Peer Data Mining, Privacy Issues, and Games. Autonomous Intelligent Systems: Agents and Data Mining. V. Gorodetsky, C. Zhang, V. Skormin, L. Cao (Editors), LNAI 4476, Springer. pp. 1-10. 2007.
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