Using the clustering algorithms and rule-based of data mining to identify affecting factors in the profit and loss of third party insurance, insurance company auto

Indian Journal of Science and Technology

Volumn 9, Issue 7, 2016, Pages

  Karamizadeh, Faramarz ^a   Zolfagharifar, Seyed Ahad ^b  

^a SHIRAZ UNIVERSITY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Clustering algorithm; Data mining; Insurance; Profit and loss; Third party

Indexed keywords

EID: 84961806933     PISSN: 09746846     EISSN: 09745645     Source Type: Journal    
DOI: 10.17485/ijst/2016/v9i7/87846     Document Type: Article

References (11)

1. Long L, Liang C, Hui Y. Efficient evolutionary data mining algorithms applied to the insurance fraud prediction. International Journal of Machine Learning and Computing. 2012 Jan; 2(3):308-14.
2. Patil SP, Patil UM, Borse S. The novel approach for improving Apriori algorithm for mining association rule. World Journal of Science and Technology. 2012; 2(3):75-8.
3. Ramamohan Y, Vasantharao K, Chakravarti CK, Ratnam ASK. A study of data mining tools in knowledge discovery process. International Journal of Soft Computing and Engineering (IJSCE). 2012 Jul; 2(3):191-4.
4. Saniee M. Applied data mining. First Printing. Tehran, Iran: Niyaz Danesh Publishing; 2012.
5. Allahyari R, Vahidy K. Applying data mining to insurance customer churn management. 3rd International Conference on Information Computing and Applications (ICICA 2012); Chengde, China. 2012 Sep. p.14-6.
6. Firuzi M, Shakoori M, Kazemi L, Zahedi S. The identification of fraud in auto insurance using data mining method. Journal of Insurance (Insurance Industry of the Former). The Twenty-Sixth Year. 2011 Sep; 3(103):103-28.
7. Heydari N, Samrand K, Farahi A. The classification of the insured risk of auto insurance using data mining algorithms. Journal of Insurance (Former Insurance Industry). The Twenty-Sixth Year. 2011 Jan; 104:107-29.
8. Montazeri-Gh M, Mahmoodi-k M. Development a new power management strategy for power split hybrid electric vehicles. Transportation Research Part D: Transport and Environment. 2015 Jun; 37:79-96.
9. Delafrooz N, Farzanfar E. Determining the customer lifetime value based on the benefit clustering in the insurance industry. Indian Journal of Science and Technology. 2016 Jan; 8(1):1342-9.
10. Montazeri-Gh M, Mahmoodi-k M. An optimal energy management development for various configuration of plug-in and hybrid electric vehicle. Journal of Central South University. 2015 May; 22 (5):1737-47.
11. Jeon Y, Lee J, Kwon, D. Process innovation case study of insurance industry: Based on Case of H Company, Indian Journal of Science and Technology, 2015 Jan; 8(S1):20-7.