A new feature set with new window techniques for customer churn prediction in land-line telecommunications
Abstract
In order to improve the prediction rates of churn prediction in land-line telecommunication service field, this paper proposes a new set of features with three new input window techniques. The new features are demographic profiles, account information, grant information, Henley segmentation, aggregated call-details, line information, service orders, bill and payment history. The basic idea of the three input window techniques is to make the...
Paper Details
Title
A new feature set with new window techniques for customer churn prediction in land-line telecommunications
Published Date
May 1, 2010
Volume
37
Issue
5
Pages
3657 - 3665
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