Affiliation:
1. Monash University, Australia
Abstract
In highly competitive industries, customer retention has received much attention. Customer retention is an important issue, as loyal customers tend to produce greater cash flow and profits, are less sensitive to price, bring along new customers and do not require any acquisition or start-up costs.
Reference11 articles.
1. Algorithmic approaches for studies of variable influence, contribution and selection in neural networks
2. Behara, R.S., & Lemmink, J. (1994). Modelling the impact of service quality on customer loyalty and retention: A neural network approach. 1994 Proceedings Decision Sciences Institute, 3, 1883-1885.
3. Bigus, J. P. (1996). Data mining with neural networks: Solving business problems—from application development to decision support. New York: McGraw-Hill.
4. Eiben, A., Koudijs, A., & Slisser, F. (1998). Genetic modelling of customer retention. Paper presented at the Genetic Programming First European Workshop, EruoGP’98, Paris, France.
5. Kowalczyk, W., & Slisser, F. (1997). Modelling customer retention with rough data sets. Paper presented at the Principles of Data Mining and Knowledge Discovery. First European Symposium, PKDD ’97, Trondheim, Norway.