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Cost-Sensitive-Data Preprocessing for Mining Customer Relationship Management Databases.

Authors :
Junfeng Pan
Qiang Yang
Yiming Yang
Lei Li
Tianyi Li, Frances
Wenmin Li, George
Source :
IEEE Intelligent Systems; Jan/Feb2007, Vol. 22 Issue 1, p46-51, 6p
Publication Year :
2007

Abstract

The article discusses the computer industry's efforts to reduce the number of customers who switch service providers. Research, in the cellular telephone industry for example, indicates that 30% of the customers switch to another provider. The cost to get a lost customer back is much higher than the cost of retaining a customer. Computer systems are being developed that will identify a customer that is likely to churn, or switch, and formulate plans to fight the problem. Classifying customers as likely to switch is cost-sensitive and data from such customers contains a small portion of positive data and a large portion of negative data.

Details

Language :
English
ISSN :
15411672
Volume :
22
Issue :
1
Database :
Complementary Index
Journal :
IEEE Intelligent Systems
Publication Type :
Academic Journal
Accession number :
23902344
Full Text :
https://doi.org/10.1109/MIS.2007.7