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A study on case-based reasoning using generalized association rules mining

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2 Author(s)
Sungnam Kim ; Sch. of Electron. & Inf. Eng., Tianjin Univ., China ; Pi-Lian He

Case-based reasoning (CBR) is a method for solving new problem similar with it using the past solving problem experience. A case can be seen as a complex object that contains at least a problem description and a solution (i.e., a conditionally and a consequence). Between the conditionality and its consequence a strong association is existed. The focus of this paper is to describe a method discovering usable rules among case history by using the generalized association rule algorithm. Emphasis placed on approaching association rule mining for discovering rules existing in case history.

Published in:

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on  (Volume:4 )

Date of Conference:

18-21 Aug. 2005