%0 Journal Article
%T A Study on Customer Segmentation for E-Commerce Using the Generalized  Association Rules and Decision Tree
%A Haiying Ma
%J American Journal of Industrial and Business Management
%P 813-818
%@ 2164-5175
%D 2015
%I Scientific Research Publishing
%R 10.4236/ajibm.2015.512078
%X With the rapid development of e-commerce, e-commerce is becoming more and more competitive. How to improve customer loyalty, attract more new customers, and expand the market effectively, it is very important for the e-commerce enterprise. In this paper, a comprehensive model is proposed, which is based on generalized association rules and decision tree technology. The model is used for customer segmentation of e-commerce website. It can help e-commerce companies understand customers, support decision-making, so as to provide customers with more targeted services.
%K Customer Segmentation
%K Association Rules
%K Decision Tree
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=62163