摘要
决策树是数据挖掘任务中分类的常用算法I,D3算法是决策树学习的核心算法.论述了ID3算法的基本思想和实现方法,分析了节点选择的方法,并根据ID3算法构造了考试成绩分析决策树,同时针对算法的缺点提出了改进意见.
Decision Tree is a commonly used algorithm in the task of data mining. ID3 algorithm is the core of Decision Tree learning. The basic ideas and implement methods of ID3 algorithm are discussed. The method of nodes selection is also analyzed. In accordance with ID3 algorithm, an examination score Decision Tree is constructed. Meanwhile, advice on how to improve the defects are put forward.
出处
《天津城市建设学院学报》
CAS
2008年第2期139-141,共3页
Journal of Tianjin Institute of Urban Construction
