Segmentation of stock trading customers according to potential value

Expert Systems with Applications

Volumn 27, Issue 1, 2004, Pages 27-33

  Shin, H W ^a   Sohn, S Y ^b  

^a Samsung Advanced Institute of Technology (SAIT)   (South Korea)

^b Yonsei University   (South Korea)

Author keywords

Customer relationship management; Customer segmentation; Fuzzy K means; K means clustering; Self organizing map

Indexed keywords

ALGORITHMS; COMMERCE; CUSTOMER SATISFACTION; DATA PROCESSING; FUZZY SETS; NEURAL NETWORKS; OPTIMIZATION; REGRESSION ANALYSIS; SELF ORGANIZING MAPS; TREES (MATHEMATICS);

CUSTOMER RELATIONSHIP MANAGEMENT; CUSTOMER SEGMENTATION; FUZZY-K MEANS; K-MEANS CLUSTERING;

EXPERT SYSTEMS;

EID: 2342612880     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2003.12.002     Document Type: Article

References (13)

1. Bezdek J.C. Pattern recognition with fuzzy objective function algorithms. 1981;Plenum Press, New York.
2. Hartfeil G. Bank one measures profitability of customers, not just products. Journal of Retail Banking Services. 18:(2):1996;23-29.
3. Hruschka H. Market definition and segmentation using fuzzy clustering methods. International Journal of Research in Marketing. 3:1986;117-134.
4. Hunt P. The pricing is right. Canadian Insurance Statistics. 1999;26-28.
5. Kim K.S., Han I. The cluster-indexing method for case-based reasoning using self-organizing maps and learning vector quantization for bond rating cases. Expert Systems with Applications. 21:(3):2001;147-156.
6. Kohonen T. Self-organized formation of topologically correct, feature maps. Biological Cybernetics. 43:(1):1982;59-69.
7. Mangiameli P., Chen S.K., West D.A. Comparison of SOM neural network and hierarchical clustering methods. European Journal of Operational Research. 93:(2):1996;402-417.
8. Michaud P. Clustering techniques. Future Generation Computer System. 13:(2):1997;135-147.
9. Nair G.J., Narendran T.T. Cluster goodness: a new measure of performance for cluster formation in the design of cellular manufacturing systems. International Journal of Production Economics. 48:(1):1997;49-61.
10. Ozer M. User segmentation of online music services using fuzzy clustering. Omega. 29:(2):2001;193-206.
11. Weber R. Customer segmentation for banks and insurance groups with fuzzy clustering techniques. Baldwin J.F. Fuzzy logic. 1996;Wiley, New York.
12. Zeithaml V.A., Rust R.T., Lemon K.N. The customer pyramid: creating and serving profitable customers. California Management Review. 43:(4):2001;118-142.
13. Zadeh L.A. Fuzzy sets. Information and Control. 8:1965;338-353.