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

Authors:
Hillol Kargupta;Kakali Sarkar;Dipti Aswath;William D. Handy
Affiliations:
AGNIK, LLC., Columbia, MD;AGNIK, LLC., Columbia, MD;AGNIK, LLC., Columbia, MD;AGNIK, LLC., Columbia, MD
Venue:
CTS'05 Proceedings of the 2005 international conference on Collaborative technologies and systems
Year:
2005

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Abstract

This paper introduces MCDS, a Multiorganizational 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 multiparty 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.