Adaptation Knowledge from the Case Base
Access Status
Open access
Authors
Main, J.
Dillon, Tharam S.
Witten, M.
Date
2007Type
Book Chapter
Metadata
Show full item recordCitation
Main, Julie and Dillon, Tharam S. and Witten, Mary. 2007. Adaptation Knowledge from the Case Base, in Orgun, Mehmet A. and Thornton, John (ed), AI 2007: Advances in Artificial Intelligence, pp 579-588. Heidelberg: Springer-Verlag.
Source Title
AI 2007: Advances in Artificial Intelligence
Faculty
Curtin Business School
School
Centre for Extended Enterprises and Business Intelligence
Remarks
The original publication is available at https://link.springer.com/
Collection
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.
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