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A collaborative distributed privacy-sensitive decision support system for monitoring heterogeneous data sources

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4 Author(s)
H. Kargupta ; LLC, AGNIK, Columbia, MD, USA ; K. Sarkar ; Dipti Aswath ; W. D. Handy

This paper introduces MCDS, a multi-organizational collaborative decision support system that makes an effort to support seamless integration of humans and software agents for collaborative emergency preparedness and threat management in a distributed multi-party environment with heterogeneous social and organizational cultures. MCDS offers mechanisms for systematic detection, tracking, and management of emerging threat-structures in the context of the existing assets, algorithms for mining distributed multi-party data in a privacy-sensitive manner, archival and retrieval of case histories, and relevance feedback-based personalization. The paper provides an overview of a few modules and describes two ongoing applications of this collaborative problem solving technology

Published in:

Proceedings of the 2005 International Symposium on Collaborative Technologies and Systems, 2005.

Date of Conference:

20-20 May 2005