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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 1    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 1, January 2011
Agent-Based CBR for Decision Support System
Full Text(PDF, 3000)  PP.  
Author(s)
Mythili Devi Nagaiah
KEYWORDS
CBR, Data Mining, Integration of Data Mining and CBR, Agents, Decision Support System
ABSTRACT
The aim of this paper is to describe about Case Based Reasoning (CBR) which is based on agents and the implementation in Decision Support System (DSS). The Introduction Section gives a introduction about Data Mining, integration of Data Mining concepts with CBR, and defines the characteristics and process cycle of CBR. The Second Section describes about the Agents, DSS, and Agent-Based DSS. The Third Section describes about the CBR in Decision Support System. The Fourth Section describes the CBR (Agent-Based) for Decision Support System and Interaction between CBR Agents and components of Decision Support System. The Final section gives a conclusion about the paper.
References
[1] Althoff, K (2001), “Case-Based Reasoning”, ICCBR-01 Workshop On Case-Based Reasoning Authoring Support Tools, 31st July.

[2] Albert A. Angehrn and Soumitra Dutta, “Case – Base Decision Support”

[3] Christian Bohm, Maria Rosa, Omor Choitti,(2003), “ Data Mining Opportunities and Challenges”, P.No. 421-426

[4] Fahem Kebair and Frederic Serin, “ Agent Oriented Approach for Detecting and Managing Risks in emergency Situations”

[5] Hao Lang Zhang, “Agent Based Open Connectivity for Decision Support System”

[6] Jolana Sebestyenova, “Case-based Reasoning in Agent-based Decision Support System”

[7] Kolodner, J. Case-Based Reasoning. Morgan Kaufman, 1993.

[8] Manheim, M.L. An architecture for active DSS. Proceedings of the 21st Annual Hawaii International Conference on System Sciences. IEEE Computer Society Press

[9] Wettschereck D., D. W. Aha: Weighting Features. Proc. of the First Int. Conference on Case-based Reasoning, 1995

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