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