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Silversteinc, B.M. (1997) Beyond Market Basket: Generalizing Association Rules to Correlations. Proceedings of the 1997 ACM SIGMOD International Conference on Management of Data (SIGMOD97), Tucson, Date, 265-276.

has been cited by the following article:

• TITLE: A Study on Customer Segmentation for E-Commerce Using the Generalized Association Rules and Decision Tree

  AUTHORS: Haiying Ma

  KEYWORDS: Customer Segmentation, Association Rules, Decision Tree

  JOURNAL NAME: American Journal of Industrial and Business Management, Vol.5 No.12, December 24, 2015

  ABSTRACT: 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.