Toward a hybrid data mining model for customer retention

Knowledge-Based Systems

Volumn 20, Issue 8, 2007, Pages 703-718

  Chu, Bong Horng ^a,c   Tsai, Ming Shian ^a   Ho, Cheng Seen ^b  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b HWA HSIA INSTITUTE OF TECHNOLOGY   (Taiwan)

^c CHUNGHWA TELECOM CO LTD   (Taiwan)

Author keywords

Classification; Clustering; Customer Relationship Management; Self Organizing Map

Indexed keywords

CLASSIFICATION (OF INFORMATION); INDUSTRIAL MANAGEMENT; MATHEMATICAL MODELS; PROBABILITY; SELF ORGANIZING MAPS;

CUSTOMER RELATIONSHIP MANAGEMENT; CUSTOMER RETENTION;

DATA MINING;

EID: 36048961066     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2006.10.003     Document Type: Article

References (19)

1. Anderson Consulting, Battling churn to increase shareholder value: wireless challenge for the future, Anderson Consulting Research Report (2000).
2. C. Bounsaythip, E.R. Runsala, Overview of data mining for customer behavior modeling, VTT Information Technology Research Report, June 2001 (2001).
3. N.S. Cardell, M. Golovnya, D. Steinberg, Churn modeling for mobile telecommunications: winning the Duke/NCR Teradata Center for CRM competition (2003), Available at: [PDF format file].
4. M. Dittenbach, D. Merkl, and A. Rauber, The Growing Hierarchical Self-Organizing Map, In: Proceedings of The International Joint Conference on Neural Networks (IJCNN 2000), 2000, pp. 15-19.
5. M. Dittenbach, A. Rauber, The Growing Self-Organizing Map (GHSOM) - introduction and architecture (2000). Available at: .
6. Dittenbach M., Rauber A., and Merkl D. Uncovering hierarchical structure in data using the Growing Hierarchical Self-Organizing Map. Neurocomputing 48 (2002) 199-216
7. Gerpott T.J., Rams W., and Schindler A. Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market. Telecommunications Policy 25 (2001) 249-269
8. Howlett D. That Crazy Little Thing Called Churn. Boardwatch Magazine 3 (2000) 23-45
9. Kamber M., and Han J. Data Mining: Concepts and Techniques (2000), Morgan Kaufmann, San Mateo CA
10. Kohonen T. Self-organized formation of topologically correct feature maps. Biological Cybernetics (1982) 59-69
11. Kohonen T., Kaski S., Lagus K., Salojarvi J., Honkela J., Paatero V., and Saarela A. Self-organization of a massive document collection. IEEE Transactions on Neural Networks 11 3 (2000) 574-585
12. G. Mayerick, Keep your customer close (2006), Available at: .
13. D. Merkl, M. Dittenbach, A. Rauber, Using Growing Hierarchical Self-Organizing Maps for document classification, In: Proceedings of The 8th European Symposium on Artificial Neural Networks (ESANN'2000), Belgium, 2000, pp. 7-12.
14. L. Modisette, Milking wireless churn for profit (1999), Available at: .
15. Quinlan J.R. Induction of decision tree. Machine Learning 1 (1983) 81-106
16. Quinlan J.R. C4.5: Programs for Machine Learning (1993), Morgan Kaufmann, San Mateo CA
17. A. Rauber, M. Dittenbach, D. Merkl, Towards automatic content-based organization of multilingual digital libraries, In: Proceedings of The 3rd All-Russian Scientific Conference, Proceedings of Digital Libraries: Advanced Methods and Technologies, Digital Collections (RCDL2001), 2001.
18. SearchCRM.com, Customer loyalty resources for CRM professionals (2006), Available at: .
19. B.H. Chu, K.C. Hsiao, C.S. Ho, An Intelligent Customer Retention System, In: Proceedings of the 19th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2006), France, 2006, pp. 1259-1269.