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    Adaptation Knowledge from the Case Base

    20778_downloaded_stream_234.pdf (313.2Kb)
    Access Status
    Open access
    Authors
    Main, J.
    Dillon, Tharam S.
    Witten, M.
    Date
    2007
    Type
    Book Chapter
    
    Metadata
    Show full item record
    Citation
    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
    DOI
    10.1007/978-3-540-76928-6_59
    Faculty
    Curtin Business School
    School
    Centre for Extended Enterprises and Business Intelligence
    Remarks

    The original publication is available at https://link.springer.com/

    URI
    http://hdl.handle.net/20.500.11937/20481
    Collection
    • Curtin Research Publications
    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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