Open Access
Issue |
MATEC Web Conf.
Volume 228, 2018
2018 3rd International Conference on Circuits and Systems (CAS 2018)
|
|
---|---|---|
Article Number | 01009 | |
Number of page(s) | 4 | |
Section | Intelligent Computing and Information Processing | |
DOI | https://doi.org/10.1051/matecconf/201822801009 | |
Published online | 14 November 2018 |
- Athanassopoulos A.D.. Customer satisfaction cues to support market segmentation and explain switching behaviour. Journal of Business Research, 2000, vol.47, pp.191-207. [CrossRef] [Google Scholar]
- Jones M., Mothersbaugh D. and Betty S.. Switching barriers and repurchase intentions in services. Journal of Retailing, 2000, 76 (2): 257-272. [CrossRef] [Google Scholar]
- Thomas, J.S. A methodology for linking customer acquisition to customer retention. Journal of Marketing Research, 2001, 38 (2): 262-268. [CrossRef] [Google Scholar]
- Berry M J A, Linoff G. Data mining techniques: for marketing, sales, and customer support [M]. New York: Wiley, 1997. [Google Scholar]
- Mozer M.C., Wolniewicz R., Grimes D.B., et al. Churn Reduction in the Wireless Industry [J]. Advances in Neural Information Processing Systems, 2000, (12): 935-941. [Google Scholar]
- Lemmens A., Croux C.. Bagging and Boosting Classification Trees to Predict Churn [J]. Journal of Marketing Research, 2006, 43 (2): 276-286. [CrossRef] [Google Scholar]
- Chiang D., Wang Y., Lee S., Lin C.. Goal-Oriented Sequential Pattern for Network Banking Churn Analysis [J]. Expert Systems with Applications, 2003, 25 (3): 293-302. [CrossRef] [Google Scholar]
- Eiben A. E., Koudijs A. E., Slisser F. Genetic Modeling of Customer Retention [C]. Lecture Notes in Computer Science, 178-186, 1998. [CrossRef] [Google Scholar]
- Zhao Y., Li B., Li X., Liu W., Ren S. J. Customer Churn Prediction Using Improved One-Class Support Vector Machine [C]. Lecture Notes in Computer Science, 2005, (3584): 300-306. [CrossRef] [Google Scholar]
- Zeithaml V, Berry L, Parasuraman A. The behavioral consequences of service quality [J]. Journal of Marketing, 1996, 60 (4): 31-46. [CrossRef] [Google Scholar]
- Hamilton R.. How croft B. A practical approach to maximizing customer retention in the credit card industry [J]. Journal of Marketing Management, 1995, 11: 151-163. [CrossRef] [Google Scholar]
- Ainslie A, Pitt L. Customer retention analyses [J]. Journal of Direct Marketing, 1992, 6 (3): 31-43. [CrossRef] [Google Scholar]
- For nell C, Wernerfelt B. Defensive marketing strategy by customer complaint management: a theoretical analysis [J]. Journal of Marketing Research, 1987, 24 (11): 37-46. [Google Scholar]
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