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决策树算法是数据挖掘中重要的分类算法,而ID3算法在决策树算法中最为著名.本文首先阐述了数据挖掘中决策树的基本思想.然后针时ID3算法运算复杂的缺点和倾向于取值较多的属性的缺点,对ID3算法予以改进,提出了ID3简化算法和ID3简化算法的二叉树存储算法;并通过实验对改进前后的算法进行了比较,实验表明改进后的算法是有效的.
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科技信息
ISSN: 1001-9960
Year: 2010
Issue: 26
Page: 498-500
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count: 8
Chinese Cited Count:
30 Days PV: 11
Affiliated Colleges: