A New Attribute Selection Criterion of Decision Tree
Wang Zheng-ou · Journal of Wuhan Yejin University of Science and Technology · 2004
This paper discusses three common entropy-based attribute selection criteria of the traditional decision tree arithmetic,and presents a new decision tree building method based on attribute importance ranking. The method ranks attributes based on the importance of the attributes in every decision tree interior nodes, and then selects the most important attribute as the ranking attribute to build a decision tree and extracts rules. Compared with the traditional data classification methods used in decision tree, the proposed method can find out the most important attribute efficiently, raises the anti-jamming capacity of decision tree and improves the prediction precision of rules produced.