Customer churn prediction in telecommunications
Abstract
This paper presents a new set of features for land-line customer churn prediction, including 2 six-month Henley segmentation, precise 4-month call details, line information, bill and payment information, account information, demographic profiles, service orders, complain information, etc. Then the seven prediction techniques (Logistic Regressions, Linear Classifications, Naive Bayes, Decision Trees, Multilayer Perceptron Neural Networks, Support...
Paper Details
Title
Customer churn prediction in telecommunications
Published Date
Jan 1, 2012
Volume
39
Issue
1
Pages
1414 - 1425
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