Application of Fuzzy-C-Means Algorithm Based on Rough Set in Client Subdivision Research
Jing Wang, Niu Gai Fang, Qingyu Sun · 2009
In an increasingly competitive market, the management of client relationship is becoming a key point for a enterprise to get a success in the competition, client subdivision is a foundation for the enterprise to make a precise marketing strategy and a successful management of client group, based on the development of data mining technology, a Fuzzy-C-Means(FCM) algorithm model is founded to do the client subdivision in this paper, Selecting the Rough Set(RS) to make a reduction to the redundancy attributes of the sample, thus reducing the dimensions of the sample input space, at a certain extent improved the accuracy and the classify effect of this algorithm, through analyses the clustering results, we provide a quantitative basis for the enterprise in the proceeding of making a marketing strategy, enhanced the pertinency and efficiency of the enterprise marketing activities