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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/26979
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/26979

    Title: Two Stages of Case-Based Reasoning --- Integrating Genetic Algorithm with Data Mining Mechanisms
    Authors: 楊亨利;Cheng-Shu Wang
    Yang, Heng-Li
    Keywords: Case-base reasoning;Case retrieve;Genetic algorithm;KDD
    Date: 2008-07
    Issue Date: 2009-01-17 15:59:07 (UTC+8)
    Abstract: Case-based reasoning (CBR) is a paradigm, concept and instinctive mechanism for problem solving. Recently, CBR has been widely integrated with some AI algorithms and applied to various kinds of problems. The ill-defined and unstructured problems are suitably solved by CBR. This research proposes a hybrid CBR mechanism including two stages. In stage I, the genetic algorithm is adopted to improve efficiency of case retrieving process. Compared to traditional CBR, the proposed mechanism could reduce about 14% case evaluations, but still achieved 90% satisfactory results. In stage II, the knowledge discovering and data mining (KDD) processes are implemented to produce the refined information from the retrieved cases. Because these retrieved cases and target problem satisfy similar or even same conditions, the outcome of KDD would be more valuable for reference. In addition to retrieved cases of stage I, the proposed mechanism provides direction and relevant knowledge for decision makers in their decision supporting and revising processes in stage II. The proposed CBR mechanism also deals with efficiency and outcome quality issues of traditional CBR.
    Relation: Expert Systems with Applications: An International Journal , 35(1/2), 262-272
    Data Type: article
    DOI 連結: http://dx.doi.org/http://dx.doi.org/10.1016/j.eswa.2007.06.027
    DOI: 10.1016/j.eswa.2007.06.027
    Appears in Collections:[資訊管理學系] 期刊論文

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