政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/70631
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    政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 >  Item 140.119/70631


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    题名: Building a Cost-constrained Decision Tree with Mulitiple Condition Attributes
    作者: 唐揆
    Tang, Kwei
    贡献者: 企管系
    关键词: Data mining;Decision analysis;Cost-sensitive learning;Classification;Decision tree
    日期: 2009.03
    上传时间: 2014-10-16 17:52:58 (UTC+8)
    摘要: Costs are often an important part of the classification process. Cost factors have been taken into consideration in many previous studies regarding decision tree models. In this study, we also consider a cost-sensitive decision tree construction problem. We assume that there are test costs that must be paid to obtain the values of the decision attribute and that a record must be classified without exceeding the spending cost threshold. Unlike previous studies, however, in which records were classified with only a single condition attribute, in this study, we are able to simultaneously classify records with multiple condition attributes. An algorithm is developed to build a cost-constrained decision tree, which allows us to simultaneously classify multiple condition attributes. The experimental results show that our algorithm satisfactorily handles data with multiple condition attributes under different cost constraints.
    關聯: Information Sciences, 179(7), 967-979
    数据类型: article
    DOI 連結: http://dx.doi.org/10.1016/j.ins.2008.11.032
    DOI: 10.1016/j.ins.2008.11.032
    显示于类别:[企業管理學系] 期刊論文

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