节点文献
决策树分类算法研究综述
Study the Survey into the Decision Tree Classification Algorithms Rule
【摘要】 本文基于决策树分类算法的研究现状,重点介绍了一些极具代表性的算法,包括ID3、C4.5等,对各种决策树分类算法的基本思想进行阐述,分析比较各种典型算法的优点和不足,并对决策树分类算法所面临的问题进行了简要的阐述,为数据分类研究者提供借鉴。
【Abstract】 Based on the previous study of the decision tree classification algorithm,this paper offers a specific and detailed description of some basic algorithm,including ID3,C4.5,etc.The basic ideas and main features of these algorithms were discussed ,The merits and weak points of the typical Algorithm were analysed and compared. A brief illustration of the problems in this field also provided for the convenience of other researchers of data classification.
- 【文献出处】 科技广场 ,Science Mosaic , 编辑部邮箱 ,2007年01期
- 【分类号】TP301.6
- 【被引频次】172
- 【下载频次】4558