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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/27086
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/27086


    Title: Applying genetic programming technique in classification trees
    Authors: Chan-Sheng Kuo;Tzung-Pei Hong;陳春龍
    Chen, Chun-Lung
    Keywords: Genetic programming;Classification tree;Knowledge base;Genetic operator
    Date: 2007-08
    Issue Date: 2009-01-17 16:09:08 (UTC+8)
    Abstract: Classification problems are often encountered in many applications. In the past, classification trees were often generated by decision-tree methods and commonly used to solve classification problems. In this paper, we have proposed an algorithm based on genetic programming to search for an appropriate classification tree according to some criteria. The classification tree obtained can be transferred into a rule set, which can then be fed into a knowledge base to support decision making and facilitate daily operations. Two new genetic operators, elimination and merge, are designed in the proposed approach to remove redundancy and subsumption, thus producing more accurate and concise decision rules than that without using them. Experimental results from the credit card data also show the feasibility of the proposed algorithm.
    Relation: Soft Computing - A Fusion of Foundations, Methodologies and Applications , 11(12), 1165-1172
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1007/s00500-007-0159-x
    DOI: 10.1007/s00500-007-0159-x
    Appears in Collections:[資訊管理學系] 期刊論文

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