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Information Journal Paper

Title

THE INSURED RISK CLASSIFICATION IN AUTO COLLISION INSURANCE USING DATA MINING ALGORITHMS: EVIDENCE FROM AN IRANIAN INSURANCE COMPANY

Pages

  107-129

Abstract

 Insurance companies are influential financial entities and need powerful risk analysis methods in order to manage risks. Risk analysis could be used for risk management in various ways as in pricing products, marketing and identifying costumers.In this paper, we first collected data from costumers and after a pre-processing step, various RISK CLASSIFICATION algorithms are utilized. At the end, the results of each algorithm are compared with each other and the C5 is selected as our proposed algorithm for RISK CLASSIFICATION of customers. This algorithm has the highest accuracy among nine algorithms used.

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    APA: Copy

    HAJIHEIDARI, NASTARAN, KHALEIE, SAMRAND, & FARAHI, AHMAD. (2012). THE INSURED RISK CLASSIFICATION IN AUTO COLLISION INSURANCE USING DATA MINING ALGORITHMS: EVIDENCE FROM AN IRANIAN INSURANCE COMPANY. IRANIAN JOURNAL OF INSURANCE RESEARCH (SANAAT-E-BIMEH), 26(4 (104)), 107-129. SID. https://sid.ir/paper/100920/en

    Vancouver: Copy

    HAJIHEIDARI NASTARAN, KHALEIE SAMRAND, FARAHI AHMAD. THE INSURED RISK CLASSIFICATION IN AUTO COLLISION INSURANCE USING DATA MINING ALGORITHMS: EVIDENCE FROM AN IRANIAN INSURANCE COMPANY. IRANIAN JOURNAL OF INSURANCE RESEARCH (SANAAT-E-BIMEH)[Internet]. 2012;26(4 (104)):107-129. Available from: https://sid.ir/paper/100920/en

    IEEE: Copy

    NASTARAN HAJIHEIDARI, SAMRAND KHALEIE, and AHMAD FARAHI, “THE INSURED RISK CLASSIFICATION IN AUTO COLLISION INSURANCE USING DATA MINING ALGORITHMS: EVIDENCE FROM AN IRANIAN INSURANCE COMPANY,” IRANIAN JOURNAL OF INSURANCE RESEARCH (SANAAT-E-BIMEH), vol. 26, no. 4 (104), pp. 107–129, 2012, [Online]. Available: https://sid.ir/paper/100920/en

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