摘要
本文分析了基于正区域的决策树生成算法的不足,针对这些不足,提出了基于正区域及其分类纯度的决策树算法。该方法计算简单,易于理解,并用实例说明了该方法的优越性。
In this paper, disadvantages of algorithm for constructing decision tree based on positive region are analyzed. Aiming at these disadvantages, a new algorithm for decision tree based on positive region and its classification ability is proposed. The method is simple and easy- to- understand. The example shows that the method is effective.
出处
《湖南广播电视大学学报》
2011年第3期57-59,共3页
Journal of Hunan Radio and Television University
关键词
粗糙集
决策树
正区域
分类纯度
rough sets
decision tree
positive region
classification ability
