Customer segmentation for B2C e-commerce websites based on the Generalized association rules and decision tree

2011 ◽  
Author(s):  
Haiying Ma ◽  
Dong Gang
Keyword(s):  
Decision Tree ◽  
Association Rules ◽  
Customer Segmentation ◽  
Generalized Association Rules

Study of E-Commerce Sites Customer Segmentation Based on Comprehensive Model

2011 ◽  
Vol 282-283 ◽  
pp. 579-583
Author(s):  
Hai Ying Ma
Keyword(s):  
Decision Making ◽  
Decision Tree ◽  
Association Rules ◽  
Rapid Development ◽  
Customer Segmentation ◽  
Comprehensive Model ◽  
Internet Applications ◽  
Generalized Association Rules ◽  
Support Decision Making ◽  
Segmentation Models

Nowadays, with the rapid development of technology and the rapid popularization of Internet applications, many Chinese businesses are attracted by huge profits and market space of e-commerce, beginning to join the area of e-commerce. How to keep effective customer, attract more members of the e-commerce website and expand the market effectively, is the problem that all the managers most concerned about. Through studying and comparing common customer segmentation models, this article is proposing a integrated model that combines the techniques of generalized association rules and decision tree. This model is used for customer segmentation for e-commerce websites. It can help managers understand customers, develop markets, and support decision-making.

Updating generalized association rules with evolving fuzzy taxonomies

2011 ◽  
Vol 16 (7) ◽  
pp. 1109-1118 ◽  
Author(s):  
Wen-Yang Lin ◽  
Ja-Hwung Su ◽  
Ming-Cheng Tseng
Keyword(s):  
Association Rules ◽  
Generalized Association Rules
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