摘要
分类决策树的归纳是一种重要的数据挖掘算法。本文重点介绍了两种基于并行算法的分类决策树的构造算法,并对它们的适用性及特点作了分析。
The induction of Classification decision tree is an important algorithm for data mining. This paper introduces two construction algorithms of Classification decision tree based on parallel algorithm , and analyzes applicability.
出处
《计算机与数字工程》
2006年第9期25-26,48,共3页
Computer & Digital Engineering
基金
广州市科技局重点支持项目(2004Z1-D0091)
广州市科技局重点支持项目(2003Z3-D0241)资助
关键词
决策树
数据挖掘
并行算法
分类器
Decision Tree, Data Mining, Parallel algorithm, Classification.
