Kamalika Das

Role: Student
Affiliation: UMBC
Department: Computer Science
Email: kdas1 AT umbc DOT edu
Business Address: ITE 363, Dept of CSEE, 1000 Hilltop Circle, Baltimore, Maryland 21250, USA
Currently I am a member of the DIADIC Research Lab at UMBC. My advisor is Dr. Hillol Kargupta. Before joining UMBC, I completed my undergraduate education in Computer Science and Engineering from BPPIMT, Calcutta. I received my MS in Computer Science from UMBC in 2005.

My areas of interest include:

  • Privacy Preserving Data Mining
  • Distributed Mining in Large-scale (P2P) Networks
  • Web Mining and Social Network Analysis

Author of 1 resource

  1. Hillol Kargupta, Kamalika Das, Kun Liu, "A Game Theoretic Approach toward Multi-Party Privacy-Preserving Distributed Data Mining", Proceedings, Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 2007, Pages 523-531, Springer Berlin / Heidelberg, September 18, 2007.