A Fuzzy Dynamic Model for Customer Churn Prediction in Retail Banking Industry
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-95810-1_7
Reference24 articles.
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3. Van den Poel, D., & Lariviere, B. (2004). Customer attrition analysis for financial services using proportional hazard models. European Journal of Operational Research, 157(1), 196–217.
4. Burez, J., & Van den Poel, D. (2008). Separating financial from commercial customer churn: A modeling step towards resolving the conflict between the sales and credit department. Expert Systems with Applications, 35, 497–514.
5. Noughabi, E. A. Z., Albadvi A., & Far, B. H. (2015). How can we explore patterns of customer segments’ structural changes? A sequential rule mining approach. In 2015 IEEE International Conference on Information Reuse and Integration (IRI) (pp. 273–280). San Francisco, CA.
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