摘要
该文主要探讨了基于数据仓库的数据挖掘技术中分类算法的决策树算法的基础理论和实施方法,分析并改进了分类方法中决策树算法;并在决策树预剪枝算法中,利用父结点与当前结点信息嫡的比值来作为是否停止决策树扩张的评判标准。
This paper is introduced fundamental theory and acting method in technologies data mining based on data warehouse ,and researched decision tree algorithm in classify algrothm ,analysed and improved decision tree algorithm in classify algorithm; In Pruning algorithm of decision tree ,It is maked use of information of father's node and currenting node so that by way of whether or not suspending judging standard outstretched decision tree.
出处
《电脑知识与技术》
2009年第10X期8354-8356,共3页
Computer Knowledge and Technology
关键词
数据挖掘
决策树
分类
修剪
信息增益
data mining
decision tree
classing
pruning
information gain
