Analysis of Decision Tree Mining Algorithm Based on Improved Rough Set Classification

Lan Wang, Hongsheng Xu
2017 Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)   unpublished
Classification is to find a set of models (functions) that describe the typical features of data set. In this paper, firstly, the rough set classification algorithm is improved. Then, analysis and application of classification algorithm based on improved rough set are described. This paper analyzes the advantages and disadvantages of the traditional decision tree algorithm, and puts forward the improvement method. The paper presents analysis of decision tree mining algorithm based on improved
more » ... based on improved rough set classification.
doi:10.2991/emcm-16.2017.190 fatcat:rakr2kct6rgbnbxpmc6544t22q