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政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 > Item 140.119/100736

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/100736

Title:	Time-constrained Cost Sensitive Decision Tree Induction
Authors:	唐揆 Chen, Y.L.;Wu, C.C.;Tang, Kwei
Contributors:	企管系
Keywords:	Data mining;Decision analysis;Cost-sensitive learning;Classification;Decision tree
Date:	2016-08
Issue Date:	2016-08-25 14:11:51 (UTC+8)
Abstract:	A cost-sensitive decision tree is induced for the purpose of building a decision tree from training data that minimizes the sum of the misclassification cost and test cost. Although this problem has been investigated extensively, no previous study has specifically focused on how the decision tree can be induced if the classification task must be completed within a limited time. Accordingly, we developed an algorithm to generate a time-constrained minimal-cost tree. The main idea behind the algorithm is to select the attribute that brings the maximal benefit when time is sufficient, and to select the most time-efficient attribute (i.e., the attribute that provides maximal benefit per unit time) when time is limited. Our experimental results show that the performance of this algorithm is highly satisfactory under various time constraints across distinct datasets.
Relation:	Information Sciences, 354, 140-152
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1016/j.ins.2016.03.022
DOI:	10.1016/j.ins.2016.03.022
Appears in Collections:	[企業管理學系] 期刊論文

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