Adaptation knowledge from the case base

Authors:
Julie Main;Tharam S. Dillon;Mary Witten
Affiliations:
La Trobe University, Bundoora, Vic, Australia;La Trobe University, Bundoora, Vic, Australia;La Trobe University, Bundoora, Vic, Australia
Venue:
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Year:
2007

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Abstract

Case adaptation continues to be one of the more difficult aspects of case-based reasoning to automate. This paper looks at several techniques for utilising the implicit knowledge contained in a case base for case adaptation in case-based reasoning systems. The most significant of the techniques proposed are a moderately successful data mining technique and a highly successful artificial neural network technique. Their effectiveness was evaluated on a footwear design problem.