Abstract
In the processing of data classification, selecting a method for data classification will influence the efficiency of classification. Attributes reduction and rules reduction based on rough sets are used in data classification. The experiments show that, compared with traditional method based on decision tree regression and information entropy, data classification using this method is simpler in the structure, and can improve the efficiency of classification.
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