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

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.

[1]  Ramakrishnan Srikant,et al.  Fast algorithms for mining association rules , 1998, VLDB 1998.

[2]  Hannu Toivonen,et al.  Sampling Large Databases for Association Rules , 1996, VLDB.

[3]  Jiawei Han,et al.  Discovery of Multiple-Level Association Rules from Large Databases , 1995, VLDB.

[4]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[5]  Shamkant B. Navathe,et al.  Mining for strong negative associations in a large database of customer transactions , 1998, Proceedings 14th International Conference on Data Engineering.

[6]  Klaus-Dieter Althoff,et al.  Learning From and Reasoning About Case-based Reasoning Systems , 1997, XPS.

[7]  Klaus-Dieter Althoff,et al.  Decision Support for Case-Based Applications , 1996, Wirtsch..

[8]  David W. Aha,et al.  Case-Based Learning: Beyond Classification of Feature Vectors , 1997, ECML.

[9]  Stefan Wess,et al.  Case-Based Reasoning Technology: From Foundations to Applications , 1998, Lecture Notes in Computer Science.

[10]  Jian Pei,et al.  Mining frequent patterns without candidate generation , 2000, SIGMOD 2000.

[11]  Gregory Piatetsky-Shapiro,et al.  The interestingness of deviations , 1994 .

[12]  Carsten Tautz,et al.  CBR for Experimental Software Engineering , 1998, Case-Based Reasoning Technology.

[13]  Rajeev Motwani,et al.  Beyond market baskets: generalizing association rules to correlations , 1997, SIGMOD '97.

[14]  Ralph Bergmann,et al.  Methodology for Building CBR Applications , 1998, Case-Based Reasoning Technology.