Turning telecommunications call details to churn prediction: a data mining approach

Volume: 23, Issue: 2, Pages: 103 - 112
Published: Aug 1, 2002
Abstract
null null As deregulation, new technologies, and new competitors open up the mobile telecommunications industry, churn prediction and management has become of great concern to mobile service providers. A mobile service provider wishing to retain its subscribers needs to be able to predict which of them may be at-risk of changing services and will make those subscribers the focus of customer retention efforts. In response to the limitations of...
Paper Details
Title
Turning telecommunications call details to churn prediction: a data mining approach
Published Date
Aug 1, 2002
Volume
23
Issue
2
Pages
103 - 112
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.