摘要
数据挖掘在科研和商业应用中正发挥着越来越重要的作用。分类器是数据挖掘的一种基本方法,决策树是一种最重要的分类器。本文介绍了分类器中的决策树方法及其优点,决策树表示法,决策树构造思想,并比较了各种重要的决策树算法。介绍了决策树算法的实现工具,决策树与数据仓库的结合,决策树的适用范围及应用,最后探讨了决策树的发展趋势。
Data mining plays a more and more important role in scientific research fields and business applications.A classifier is the basic method in the data mining,and a decision tree is one of the most important classifiers.This paper introduces the way of decision tree in classifiers,its advantages,its expression and its construction method and a comparative study of all important decision tree's algorithms have been made.Algorithms implements,the combination with data warehouse,decision tree's appropriate situations and its applications are also introduced.Finally,the paper discusses the developing trend of decision tree.
出处
《长春大学学报》
2004年第6期48-51,共4页
Journal of Changchun University
关键词
数据挖掘
决策树
数据仓库
data mining
decision tree
data warehouse
