Study on the Decision Tree Classification Algorithm and Its Application Based on Rough Set Theory

In view of the fact that many decision tree classification algorithms are unable to deal with continuous attributes and missing values, this paper do some studies on decision tree classification algorithm based on rough set theory. The purpose of study is to build decision tree with higher accuracy rate and to enable decision tree classification

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