Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/70061
Title: Customer loyalty on recurring loans
Authors: Ng, V 
Ng, IDA
Keywords: Loyalty
Neuro-fuzzy
Regression analysis
Customer relationship management
Issue Date: 2003
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2003, v. 2690, p. 653-660 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Customer Loyalty has long been a pressing issue in today’s competitive commercial arena. It is increasingly important as companies emphasize more on their customer relationship management. In this paper, we investigate the segmentation of bank customers in terms of their loyalty level; the sample dataset is the personal finance customers from a bank. Based on a loyalty definition, a model on the customer loyalty will be formulated. This loyalty function classifies customers into four levels. Statistical and neuro-fuzzy techniques will also be deployed to explore the relationships of customer demographics, loan approval information and transaction information towards customer loyalty.
Description: 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, Hong Kong, China, March 21-23, 2003
URI: http://hdl.handle.net/10397/70061
ISBN: 978-3-540-40550-4
978-3-540-45080-1
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-540-45080-1_88
Appears in Collections:Conference Paper

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