摘要
当前,数据挖掘已经成为信息业最引人注目的几项IT技术之一。决策树方法作为目前推广最深的数据挖掘模型之一,已创造出众多的不同算法。本文从ID3算法的缺点出发,根据粗糙集理论完成了对ID3算法的改进,为建立决策树分析模型奠定了基础。
Nowadays data mining technique has become one of the most attractive IT techniques. Decision tree method as one of the most popular data mining model has created many types of algorithm. From the disadvantages of ID3 algorithm, this article completed the improvement of ID3 algorithm based on rough set theory and lay a foundation for the decision tree analyzing model.
出处
《贵阳学院学报（自然科学版）》
2015年第1期16-20,共5页
Journal of Guiyang University：Natural Sciences
基金
安徽省省级项目:面向信息产业升级的高职计算机应用技术人才培养模式改革研究(项目编号:BCB14032)
关键词
ID3算法
改进
粗糙集理论
ID3 algorithm
improvement
the rough set theory
