Transcription of A Study on Customer Segmentation for E …
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American Journal of Industrial and Business Management, 2015, 5, 813-818 Published Online December 2015 in SciRes. How to cite this paper: Ma, (2015) A Study on Customer Segmentation for E-Commerce Using the Generalized Associ-ation Rules and Decision Tree. American Journal of Industrial and Business Management, 5, 813-818. A Study on Customer Segmentation for E-Commerce Using the Generalized Association Rules and Decision Tree Haiying Ma Department of Management Science and Engineering, East China University of Science & Technology, Shanghai, China Received 21 November 2015; accepted 21 December 2015; published 24 December 2015 Copyright 2015 by author and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). Abstract With the rapid development of e-commerce, e-commerce is becoming more and more competitive.
Customer segmentation is based on the selection of segmentation variables. Generally, there are two types of . H. Y. Ma 815 segmentation variables-descriptive ...
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Segmentation, Customer, Customer Segmentation with R, Customer Segmentation) Introduction, Profiling bank customers behaviour, Data Analytics: A Marketing Segmentation Case, Customer segmentation, Market Segmentation Using Kmeans, Market Segmentation Using K-Means, 447-2013 Multivariate Statistical Analysis, Segmentation and Classification, CUSTOMER DATA CLUSTERING USING D, Segmentation models and applications with R