南昌工程学院学报2006，Vol.25Issue(2)：122-125,4.
A New Method for Constructing Decision Tree Based on Rough Sets Theory
A New Method for Constructing Decision Tree Based on Rough Sets Theory
摘要
Abstract
Decision trees induction algorithms have been used for classification in a wide range of application domains. In the process of constructing a tree, the criteria of selecting test attributes will influence the classification accuracy of the tree. In this paper, the degree of dependency of decision attribute to condition attribute, based on rough set theory, is used as a heuristic for selecting the attribute that will best separate the samples into individual classes. The result of an example shows that compared with the entropy-based approach, our approach is a better way to select nodes for constructing decision trees.关键词
rough sets/dependency of attributes/classification/decision treeKey words
rough sets/dependency of attributes/classification/decision tree分类
数理科学引用本文复制引用
Longjun Huang,Caiying Zhou,Minghe Huang,Zhiming Zhuang..A New Method for Constructing Decision Tree Based on Rough Sets Theory[J].南昌工程学院学报,2006,25(2):122-125,4.基金项目
Key Attack Project of Jiangxi Province Youth Funds of Jiangxi Normal University （）
