An analysis of customer retention and insurance claim patterns using data mining: A case study

Journal of the Operational Research Society

Volumn 51, Issue 5, 2000, Pages 532-541

  Smith, K A ^a   Willis, R J ^a   Brooks, M ^b  

^a MONASH UNIVERSITY   (Australia)

^b Australian Associated Motor Insurers Limited   (Australia)

Author keywords

Case study; Classification; Clustering; Data mining; Insurance; Neural networks

Indexed keywords

CUSTOMER RETENTION-INSURANCE CLAIM PATTERNS; KNOWLEDGE DISCOVERY PROCESS;

DATA MINING; DECISION THEORY; INSURANCE; KNOWLEDGE ACQUISITION; NEURAL NETWORKS; STATISTICAL TESTS; VALUE ENGINEERING;

OPERATIONS RESEARCH;

EID: 0033748604     PISSN: 01605682     EISSN: 14769360     Source Type: Journal    
DOI: 10.1057/palgrave.jors.2600941     Document Type: Article

References (22)

1. Van Gelder H (1982). Planning and control in insurance. Eur J OplRes9: 105-113.
2. Haehling von Lanzenauer C and Wright DD (1991). Operational research and insurance. Eur J Opl Res55: 1-13.
3. Johnson RA (1997). Digging the dirt. Best’s Rev: Property/ Casualty-Insurance-Edition. 98: 108-110.
4. Williams GJ and Huang Z (1997). Mining the knowledge mine. The hot spots methodology for mining large real world databases. In: Sattar A (ed). Advanced Topics in Artificial Intelligence. Springer-Verlag: Berlin, Germany, pp 340-348.
5. He H, Wang J, Graco W and Hawkins S (1997). Application of neural networks to detection of medical fraud. Exp Sys with Applic13: 329-336.
6. Gordon RT (1994). An artificial neural network approach to earthquake hazard assessment. In: Dagli CH, Fernandez BR, Ghosh J and Kumara RTS (eds). Intelligent Engineering System Through Artificial Neural Networks. ASME Press: New York, 4: pp 1175-1180.
7. Collins E, Ghosh S and Scofield C (1988). An application of a multiple neural network learning system to emulation of mortgage underwriting judgements. Proceed IEEE Int Conf on Neural Networks2: 459-466.
8. Hsiung A (1990). Decision making using rule based systems and neural networks. In: Bernold T (ed). Proceedings 3rd International Symposium. Commercial Expert Systems in Banking and Insurance. Interfaces-Gateway to the Services of the 90s. SGAICO Technol. Transfer, Lugano, Switzerland; p 117.
9. Nikolopoulos C and Duvendack S (1994). A hybrid machine learning system and its application to insurance underwriting. Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence2: 692-695.
10. Vaughn ML (1996). Extraction of the knowledge base and provision of explanation facilities for a MLP neural network that performs life assurance assessment classification. IEE Colloquium on Knowledge Discovery and Data Mining1: 1-5.
11. Brockett PL, Cooper WW, Golden LL and Xia X (1997). A case study in applying neural networks to predicting insolvency for property and casualty insurers. J Opl Res Soc48: 1153-1162.
12. Weber R (1996). Customer segmentation for banks and insurance groups with fuzzy clustering techniques. In: Baldwin JF (ed). Fuzzy Logic. Wiley: Chichester, pp 187-196.
13. French M (1998). Mining for dollars: A $6.5 billion market by 2000. America’s Network. 102: 24.
14. Bigus J (1996). Data Mining with Neural Networks. McGraw-Hill: New York.
15. Small RD (1997). Debunking data mining myths. Information Week, January 20: 55-60.
16. Berry M and Linoff G (1997). Data Mining Techniques. Wiley: New York.
17. Smith KA (1999). An Introduction to Neural Networks and Data Mining for Business Applications. Eruditions Publishing: Melbourne.
18. Rumelhart DE and McClelland JL (eds) (1986). Parallel Distributed Processing: Explorations in the Microstructure of Cognition. MIT Press: Cambridge, MA.
19. Hartigan JA (1975). Clustering Algorithms. John Wiley & Sons: New York.
20. Kohonen T (1988). Self-Organisation and Associative Memory. Springer-Verlag: New York.
21. Onn KP and Mercer A (1998). Case study the direct marketing of insurance. Eur J Opl Res109: 541-549.
22. Samson D (1986). Designing an automobile insurance classification system. Eur J Opl Res27: 235-241.