Targeting customers via discovery knowledge for the insurance industry

Expert Systems with Applications

Volumn 29, Issue 2, 2005, Pages 291-299

  Wu, Chien Hsing ^a   Kao, Shu Chen ^b   Su, Yann Yean ^c   Wu, Chuan Chun ^d  

^a NATIONAL UNIVERSITY OF KAOHSIUNG   (Taiwan)

^b KUN SHAN UNIVERSITY   (Taiwan)

^c WENZAO URSULINE UNIVERSITY OF LANGUAGES   (Taiwan)

^d I SHOU UNIVERSITY   (Taiwan)

Author keywords

Data mining; Decision support; Insurance; Knowledge discovery in databases

Indexed keywords

BUDGET CONTROL; DATA MINING; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; FEEDBACK; KNOWLEDGE REPRESENTATION; LEARNING SYSTEMS; MARKETING;

DECISION RULES; DECISION SUPPORTS; INSURANCE COMPANY; KNOWLEDGE DISCOVERY IN DATABASES (KDD);

INDUSTRIAL INSURANCE;

EID: 22144450689     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2005.04.002     Document Type: Article

References (23)

1. P. Brockett, and X. Xiaohua Operations research in insurance: A review Insurance: Mathematics and Economics 19 2 1997 154
2. C. Clifton, and B. Thuraisingham Emerging standards for data mining Computer Standards & Interfaces 23 2001 187 193
3. J.M. Donato, J.C. Schryver, G.C. Hinkel, R.L. Schmoyer Jr., M.R. Leuze, and N.W. Grandy Mining multi-dimensional data for decision support Future Generation Computer Systems 15 3 1999 433 441
4. U. Fayyad, and P. Stolorz Data mining and KDD: Promise and challenge Future Generation Computer Systems 13 2-3 1997 99 115
5. A. Feelders, M. Daniels, and M. Holsheimer Methodological and practical aspects of data mining Information & Management 37 2000 271 281
6. G. Giraud-Carrier, and O. Povel Characteristising data mining software Intelligent Data Analysis 7 3 2003 181 192
7. J. Han, and Y. Fu Mining multiple-level association rules in large databases IEEE Transactions on Knowledge and Data Engineering 11 5 1999 798 805
8. K. Hirota, and W. Pedrycz Fuzzy computing for data mining Proceedings of the IEEE 87 9 1999 1575 1600
9. S.C. Hui, and G. Jha Data mining for customer service support Information & Management 38 1 2000 1 13
10. Kohavi, R., & Provost, F. (2001). Data mining and knowledge engineering. 5(1/2).
11. B. Mak, and T. Munakata Rule extraction from expert heuristics: A comparative study of rough sets with neural networks and ID3 European Journal of Operational Research 136 1 2002 212 229
12. S.K. Murthy Automatic construction on decision three from data: A multi-disciplinary survey Data Mining and Knowledge Discovery 2 1998 345 389
13. C. Ohmann, V. Moustakis, Q. Yang, and K. Lang Evaluation of automatic knowledge acquisition techniques in the diagnosis of acute abdominal pain Artificial Intelligence in Medicine 8 1 1996 23 36
14. D. Pitta Marketing on-to-one and its dependence on knowledge discovery in databases Journal of Consumer Marketing 15 5 1998 468 480
15. J.R. Quinlan Induction of decision tree Machine Learning 1 1986 81 106
16. S. Sestito, and T.S. Dillon Automated knowledge acquisition 1994 Prentice Hall New York
17. A. Shapiro Fuzzy logic in insurance Insurance: Mathematics and Economics 19 2 2004 399 424
18. J.P. Shim, M. Warkentin, J.F. Courtney, D. Power, R. Sharda, and C. Carlsson Past, present, and future of decision support technology Decision Support Systems 33 2002 111 126
19. K.D.C. Stark, and D.U. Pfeiffer The application of non-parametric techniques to solve classification problems in complex data sets in veterinary epidemiology-an example Intelligent Data Analysis 3 1 1999 23 35
20. H.H. Sung, and C.P. Sang Application of data mining tools to hotel data mart on the intranet for database marketing Expert Systems With Applications 15 1 1998 1 31
21. C.H. Wu Data mining applied to material acquisition budget allocation for libraries: Design and development Expert Systems With Applications 25 3 2003 401 411
22. C.H. Wu On the granulation simplicity for the decision rule discovery in databases: EWI vs. EFI International Journal of Science and Technology 14 2003 28 36
23. X. Wu, and D. Urpani Induction by attribute elimination IEEE Transactions on Knowledge and Data Engineering 11 1999 805 812