Development of knowledge model for insurance product decision using the associative classification approach

Azuraliza Abu Bakar, Zalinda Othman, Mohd Saiful Nizam Md. Yusoff, Ruhaizan Ismail

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Individual protection, physically or mentally, is very important for someone living in a risk environment. Insurance is one of the individual protections due to accident, blaze, critical diseases or death. Insurance company plays a critical role in providing competitive product insurance that covers flexible features depend on customer requirements. In order to compete with other competitors and fulfill the customer needs, the company needs a wise and proper business strategy. The insurance company needs extra knowledge on the potential customer whom can give a positive response to the insurance product being offered. In this paper we proposed an associative classification model to develop a knowledge model for determining the best class solution for insurance policy dataset. We enhanced the classification-based association of associative classification by using a heuristic to process two types of decision rules. The decision rules types were the correctly classified rules and the verified uncertain classified rules. The finding showed that the type of products could be proposed in a new insurance policy based on individual profiles.

Original languageEnglish
Title of host publicationProceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
Pages1481-1486
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 - Cairo
Duration: 29 Nov 20101 Dec 2010

Other

Other2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
CityCairo
Period29/11/101/12/10

Fingerprint

Insurance
Industry
Accidents

Keywords

  • Association rule
  • Associative
  • Classification
  • Insurance

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture

Cite this

Abu Bakar, A., Othman, Z., Md. Yusoff, M. S. N., & Ismail, R. (2010). Development of knowledge model for insurance product decision using the associative classification approach. In Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10 (pp. 1481-1486). [5687120] https://doi.org/10.1109/ISDA.2010.5687120

Development of knowledge model for insurance product decision using the associative classification approach. / Abu Bakar, Azuraliza; Othman, Zalinda; Md. Yusoff, Mohd Saiful Nizam; Ismail, Ruhaizan.

Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10. 2010. p. 1481-1486 5687120.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abu Bakar, A, Othman, Z, Md. Yusoff, MSN & Ismail, R 2010, Development of knowledge model for insurance product decision using the associative classification approach. in Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10., 5687120, pp. 1481-1486, 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10, Cairo, 29/11/10. https://doi.org/10.1109/ISDA.2010.5687120
Abu Bakar A, Othman Z, Md. Yusoff MSN, Ismail R. Development of knowledge model for insurance product decision using the associative classification approach. In Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10. 2010. p. 1481-1486. 5687120 https://doi.org/10.1109/ISDA.2010.5687120
Abu Bakar, Azuraliza ; Othman, Zalinda ; Md. Yusoff, Mohd Saiful Nizam ; Ismail, Ruhaizan. / Development of knowledge model for insurance product decision using the associative classification approach. Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10. 2010. pp. 1481-1486
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