摘要
CART算法是数据挖掘技术中的一种常用的方法,对CART技术产生、基本思路及主要挖掘步骤及其优缺点等进行了概略介绍,利用粗糙集理论求取属性重要度并对CART算法作了改进.最后给出了改进算法在教学中的应用实例.
Data mining is an emerging research field in database and artificial intelligence. First, the data mining technique of CART algorithm is introduced briefly including its background, application and classification. With the theory of Rough Set the importance of attributes is obtained and CART algorithm is improved. Then, an application example of the improved algorithm in teaching is presented.
出处
《黄冈师范学院学报》
2006年第3期38-41,共4页
Journal of Huanggang Normal University
关键词
数据挖掘
粗糙集
决策表
属性重要度
KDD
Rough Set
decision table
importance of attributes
