Building comprehensible customer churn prediction models with advanced rule induction techniques

Volume: 38, Issue: 3, Pages: 2354 - 2364
Published: Mar 1, 2011
Abstract
Customer churn prediction models aim to detect customers with a high propensity to attrite. Predictive accuracy, comprehensibility, and justifiability are three key aspects of a churn prediction model. An accurate model permits to correctly target future churners in a retention marketing campaign, while a comprehensible and intuitive rule-set allows to identify the main drivers for customers to churn, and to develop an effective retention...
Paper Details
Title
Building comprehensible customer churn prediction models with advanced rule induction techniques
Published Date
Mar 1, 2011
Volume
38
Issue
3
Pages
2354 - 2364
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.