Decision tree induction with a constrained number of leaf nodes

淡江大學機構典藏 > 商管學院 > 管理科學學系暨研究所 > 期刊論文 > Item 987654321/119626

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/119626

题名:	Decision tree induction with a constrained number of leaf nodes
作者:	Wu, Chia-Chi;Chen, Yen-Liang;Liu, Yi-Hung;Yang, Xiang-Yu
关键词:	Classification;Data mining;Decision tree;Constraint tree
日期:	2016-04-15
上传时间:	2020-11-24 12:10:35 (UTC+8)
摘要:	With the advantages of being easy to understand and efficient to compute, the decision tree method has long been one of the most popular classifiers. Decision trees constructed with existing approaches, however, tend to be huge and complex, and consequently are difficult to use in practical applications. In this study, we deal with the problem of tree complexity by allowing users to specify the number of leaf nodes, and then construct a decision tree that allows maximum classification accuracy with the given number of leaf nodes. A new algorithm, the Size Constrained Decision Tree (SCDT), is proposed with which to construct a decision tree, paying close attention on how to efficiently use the limited number of leaf nodes. Experimental results show that the SCDT method can successfully generate a simpler decision tree and offers better accuracy.
關聯:	Applied Intelligence 45(3), p.673-685
DOI:	10.1007/s10489-016-0785-z
显示于类别:	[管理科學學系暨研究所] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	48	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章