Kamalika - UMBC

Latest news:

June 24, 2009:
My paper titled "A Local Distributed Peer-to-Peer Algorithm Using Multi-Party Optimization Based Privacy Preservation for Data Mining Primitive Computation" has been accepted as a full paper in 2009 P2P Conference.

Useful:

- Google Scholar - Java docs
- DDM Bib
- DDM Wiki
- Mathworld

Fun:

Journal

K. Das, K. Bhaduri, H. Kargupta. Privacy Preserving Local Asynchronous Algorithm for Feature Selection in a Peer-to-Peer Network. (submitted to Knowledge and Information Systems (KAIS)).

K. Das, H. Kargupta. A Game-Theoretic Framework for Privacy Preserving Distributed Data Mining. (submitted to IEEE Transactions on Knowledge and Data Engineering (TKDE)).

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]

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. [pdf]

Conference and Workshop

K. Das, K. Bhaduri, H. Kargupta. A Distributed Asynchronous Local Algorithm using Multi-party Optimization based Privacy Preservation. (accepted, 2009 P2P Conference).

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. In The Ninth SIAM International Conference on Data Mining (SDM). pp 247 - 258. 2009. [pdf]

K. Borne, H. Kargupta, K. Das, W. Griffin, C. Giannella. Scalable Scientific Data Mining in Distributed, Peer-to-Peer Environments. American Geophysical Union (AGU) Fall Meeting, 2008, San Francisco. [pdf]

K. Das, W. Griffin, H. Kargupta, C. Giannella, Kirk Borne. Scalable Multi-Source Astronomy Data Mining in Distributed, Peer-to-Peer Environments. Astronomical Data Analysis Software & Systems (ADASS), 2008, Montreal, Canada. [pdf]

H. Kargupta, K. Das, K. Liu. Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework . In 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD). pp 523-531. 2007. [pdf] (nominated for the PET award)

K. Bhaduri, K. Das, H. Kargupta. Peer-to-Peer Data Mining. Autonomous Intelligent Systems: Agents and Data Mining. V. Gorodetsky, C. Zhang, V. Skormin, L. Cao (Editors), LNAI 4476, Springer. pp. 1-10. 2007. [pdf]

R. Dutton, P. Hu, K. Das, T. Gilbert, Y. Xiao. Can Temperature Probe Removal Be a Reliable Indicator for Case Finishing? American Society of Anesthesiologist (ASA) Annual Meeting. San Francisco. 2007. [pdf]

K. Das, K. Liu and H. Kargupta. A Game Theoretic Perspective Toward Practical Privacy Preserving Data Mining. In National Science Foundation Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation. Baltimore, Maryland. 2007. [jpg]

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. [pdf]

K. Das, P. Hu, Y. Xiao, M. Wasei. Reducing Uncertainty in Operating Room Management. In OR of the Future retreat. Columbia, Maryland. 2006. [pdf]

Book Chapter

K. Liu, K. Das, T. Grandison, H. Kargupta, Privacy-Preserving Data Analysis on Graphs and Social Networks. In Next Generation Data Mining. Edited by Hillol Kargupta, Jiawei Han, Philip Yu, Rajeev Motwani, and Vipin Kumar, CRC Press, 2008. [pdf]

K. Bhaduri, K. Das, K. SivaKumar, H. Kargupta. Algorithms for Distributed Data Stream Mining. A chapter in Data Streams: Models and Algorithms, Charu Aggarwal (editor), Springer. pp. 309-332. 2006.