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2005 Volume 20
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RESEARCH ARTICLE   Open Access    

Case-based reasoning for diagnosis applications

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  • Case-based reasoning (CBR) is widely applicable to the diagnosis of problems and the identification of solutions to them. This review of the literature identifies key papers relating to this use of CBR. The stages in diagnosing and troubleshooting a problem are considered and the elements of a CBR system for achieving this are described. Five systems are discussed that have frequently been cited in the literature and illustrate the use of CBR in diagnosis and troubleshooting applications.
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    MEHMET H. GÖKER, ROBERT J. HOWLETT, JOSEPH E. PRICE. 2005. Case-based reasoning for diagnosis applications. The Knowledge Engineering Review. 20: doi: 10.1017/S0269888906000610
    MEHMET H. GÖKER, ROBERT J. HOWLETT, JOSEPH E. PRICE. 2005. Case-based reasoning for diagnosis applications. The Knowledge Engineering Review. 20: doi: 10.1017/S0269888906000610
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RESEARCH ARTICLE   Open Access    

Case-based reasoning for diagnosis applications

  • Published online: 08 May 2006
The Knowledge Engineering Review  20,  Article number: 10.1017/S0269888906000610  (2005)  |  Cite this article

Abstract: Case-based reasoning (CBR) is widely applicable to the diagnosis of problems and the identification of solutions to them. This review of the literature identifies key papers relating to this use of CBR. The stages in diagnosing and troubleshooting a problem are considered and the elements of a CBR system for achieving this are described. Five systems are discussed that have frequently been cited in the literature and illustrate the use of CBR in diagnosis and troubleshooting applications.

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    Cite this article
    MEHMET H. GÖKER, ROBERT J. HOWLETT, JOSEPH E. PRICE. 2005. Case-based reasoning for diagnosis applications. The Knowledge Engineering Review. 20: doi: 10.1017/S0269888906000610
    MEHMET H. GÖKER, ROBERT J. HOWLETT, JOSEPH E. PRICE. 2005. Case-based reasoning for diagnosis applications. The Knowledge Engineering Review. 20: doi: 10.1017/S0269888906000610
    shu

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