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    Item type:Publication,
    A new case-based classification using incremental concept lattice knowledge
    (2013-01-01)
    Muangprathub, Jirapond
    ;
    Boonjing, Veera
    ;
    Pattaraintakorn, Puntip
    This paper proposes a new case-based classification system with an incremental knowledge base. The new system employs a concept lattice with formal concept analysis as a knowledge structure. The paper also proposes a new efficient algorithm for knowledge construction as well as an effective retrieval method for formal concepts. The proposed retrieval method uses a concept similarity measure based on an appearance frequency of formal concepts. In addition, we provide a mathematical proof that the similarity measure satisfies a formal similarity metric definition. Experiment results on standard datasets show that our classifier with the proposed similarity measure gives accuracy better than with other existing similarity measures. © 2012 Elsevier B.V.