A collaborative distributed privacy-sensitive decision support system for monitoring heterogeneous data sources
International Symposium on Collaborative Technologies and Systems (2005)
St Louis, MO, USA
May 20, 2005 to May 20, 2005
H. Kargupta , LLC, AGNIK, Columbia, MD, USA
K. Sarkar , LLC, AGNIK, Columbia, MD, USA
null Dipti Aswath , LLC, AGNIK, Columbia, MD, USA
W.D. Handy , LLC, AGNIK, Columbia, MD, USA
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.
heterogeneous data source, multiorganizational collaborative decision support system, software agent, collaborative emergency preparedness, threat management, distributed multiparty environment, data mining, data privacy, relevance feedback-based personalization, collaborative problem solving technology
K. Sarkar, n. Dipti Aswath, H. Kargupta and W. Handy, "A collaborative distributed privacy-sensitive decision support system for monitoring heterogeneous data sources," 2005 International Symposium on Collaborative Technologies and Systems(ISCST), St Louis, MO, 2005, pp. 380-387.