DocumentCode :
2794682
Title :
The empirical study of applying logistic regression to escalate purchasing power
Author :
Chen, Tong-Sheng
Author_Institution :
Dept. of Intell. Sci. & Technol., Xiamen Univ., Xiamen
Volume :
6
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
3367
Lastpage :
3372
Abstract :
CRM is the process of controlling efficient, cost-effective flow knowledge to individual customerspsila requirements, and interaction with customers through channels for the purpose of escalating the customerpsilas lifetime value. In other words, product is the core business process of traditional marketing, while customer is the core business process of CRM. The former is concerned with which product is the best sales, the latter does which customer is faithful.
Keywords :
business data processing; customer relationship management; marketing; purchasing; regression analysis; CRM; buying preference; core business process; cost-effective flow knowledge; customer lifetime value; logistic regression; marketing profit; purchasing power; Companies; Cybernetics; Data mining; Decision trees; Frequency; Logistics; Machine learning; Predictive models; Random variables; Transaction databases; Data mining; logistic regression; maximum likelihood estimation; rfm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620986
Filename :
4620986
Link To Document :
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