Proceedings ArticleDOI
Customer Value Analysis Based on Rough Set Data Mining Technique
Wang Hong
- pp 1-4
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TLDR
Data mining algorithm based on classification mode 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.Abstract:
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.read more
Citations
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Proceedings ArticleDOI
Extension classification method and its application based on extensible set
TL;DR: A sort of classification method under extension transformation, which is called extension classification method, is studied, different from the classification methods based on classical set, fuzzy set and rough set, and it is a sort of alterable classification method.
Proceedings ArticleDOI
Value reduction in rough sets based on Apriori algorithm
Yuliang Ma,Zhizeng Luo +1 more
TL;DR: Aiming at value reduction, a kind of RSVR algorithm was presented based on support in association rules via Apriori algorithm, which indicates the validity of this algorithm.
Journal ArticleDOI
Research on Rough Set Theory-Based Customer Division
TL;DR: The design of model for customer division based on rough set is presented, and algorithms for attribute reduction and rule extraction in rough set are used to analyze the customer of supermarket.
Proceedings ArticleDOI
A method of rough set based on the attribute oriented induction and relevance analysis
TL;DR: A new method is proposed that uses the attribute-oriented induction and the attribute relevance analysis to generalize customer attributes and eliminate redundant attributes in databases and to constitute a contracted decision-making information system.
Proceedings ArticleDOI
Power Customer Value Assessment Research Based on K-Means Method
TL;DR: Customer value evaluation index system concerning customer current value and potential value considering the effect of social energy conservation on power customer is established and empirical analysis is carried out.
References
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Journal ArticleDOI
Induction of Decision Trees
TL;DR: In this paper, an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one such system, ID3, in detail, is described, and a reported shortcoming of the basic algorithm is discussed.