Abstract
Customer Attrition is a function of customer transaction and service related characteristics and also a combination of cancellation and switching to a competitor. This paper first presents a risk prediction framework for bank customer attrition. A risk prediction approach and a combined sporadic risk prediction model are then proposed to support decision making of financial managers. Real world experiments validate the proposed framework, approach and model and show the positive results for bank customer attrition prediction and marketing decision making.
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Lin, H., Zhang, G. (2012). Risk Prediction Framework and Model for Bank External Fund Attrition. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances on Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31709-5_18
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DOI: https://doi.org/10.1007/978-3-642-31709-5_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31708-8
Online ISBN: 978-3-642-31709-5
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