Developing a prediction model for customer churn from electronic banking services using data mining

Volume: 2, Issue: 1
Published: Aug 22, 2016
Abstract
Given the importance of customers as the most valuable assets of organizations, customer retention seems to be an essential, basic requirement for any organization. Banks are no exception to this rule. The competitive atmosphere within which electronic banking services are provided by different banks increases the necessity of customer retention. Being based on existing information technologies which allow one to collect data from organizations’...
Paper Details
Title
Developing a prediction model for customer churn from electronic banking services using data mining
Published Date
Aug 22, 2016
Volume
2
Issue
1
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.