Customer Value Analysis Based on Rough Set Data Mining Technique

This paper studies data mining algorithm based on classification mode in detail, especially classification rules pick-up based on rough sets and based on construction decision trees. An improving-algorithm of decision tree model based on rough sets is given. The technique of decision tree based on rough sets is used in customer value management fields, measurement customer value and segmentation customers were carried out after the decision tree model based on rough sets was set up by a series of feasible index system. Based on data mining technique, We can provide intelligent decision support for the customer management of enterprise by efficiently identifying customers, evaluating customer value, segmentation customers, improving the sale effect, retaining customers and increasing customers satisfaction and loyalty degree and so on.