Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications

Volume: 37, Issue: 5, Pages: 3638 - 3646
Published: May 1, 2010
Abstract
This paper proposes a new multiobjective feature selection approach for churn prediction in telecommunication service field, based on the optimisation approach NSGA-II. The basic idea of this approach is to modify the approach NSGA-II to select local feature subsets of various sizes, and then to use the method of searching nondominated solutions to select the global nondominated feature subsets. Finally, the method FBSM which yields the fitness...
Paper Details
Title
Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications
Published Date
May 1, 2010
Volume
37
Issue
5
Pages
3638 - 3646
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