The Method of Attribute Reduction Based on Decision Tree
This paper is for refining database in the data mining process.Based on the analysis of the features and disadvantages of this decision tree algorithm and the substantive characteristics of data mining,we propose the concept of the core samples set and prove its invariance.On this basis,we build an attribute reduction method based on decision tree algorithm and then give a specific implementation steps,further,combined with a specific instance analyze the characteristics and efficiency of the method.Results show that the attribute reduction method based on the decision tree has good maneuverability and explicableness.This method can simply realize the attribute reduction of information system and its basic ideas completely adapt to the attribute reduction problems of the uncertain environment.
Data mining Decision tree Rough set Information system Attribute reduction
Fachao Li Hongze Yin Fei Guan
College of Science, Hebei University of Science and Technology, 050018, Shijiazhuang China
国际会议
重庆
英文
1303-1307
2011-06-23（万方平台首次上网日期，不代表论文的发表时间）