Role of Data mining in Insurance Industry

  • K. Umamaheswari Research scholar, Dept of Computer Science Bharathiar university, Coimbatore, Tamilnadu, India
  • S. Janakiraman Assistant Professor, Dept of Banking technology, Pondicherry university, Pondicherry, India

Abstract

In the global era, Insurance systems rapidly a lot of tremendous development in our society. Due to the increased stress in day-to-day life, the growth of demand of insurance increased. Data mining helps insurance firms to discovery useful patterns from the customer database. The purpose of the paper aims to present how data mining is useful in the insurance industry, how its techniques produce good results in insurance sector and how data mining enhance in decision making using insurance data. The conceptual paper is written based on secondary study, observation from various journals, magazines and reports.

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References

Han and Kamber, “Data Mining: Concepts and Techniquesâ€,Second Morgan Kaufman Publisher, 2006,

Micheal J. A .Berry and Gordon S.linoff. EBook “Data Mining Technique for marketing Sales and CRMâ€, Wiley Publishing, Inc., Indianapolis. Indiana, 2004.

Lijia Guo. “Applying Data mining Techniques in Property/Casualty Insuranceâ€, Casualty Actuarial Society Forum Casualty Actuarial Society - Arlington, Virginia Winter 2003.

Katharina Morik and Hanna Kopcke. “Analyzing Customer Churn in Insurance Dataâ€. Lecture Notes in Computer Science, vol. 3202, 2004, pp. 325-336 .

Keyvan Vahidy Rodpysh,, Amir Aghai and Meysam Majdi ,“ Applying data mining techniques for Customer Relationship managementâ€, International Journal of Information Technology, Control and Automation Vol.2, No.3, July 2012

A. B. Devale and Dr. R. V. Kulkarni, “Application of data mining techniques in life insuranceâ€, International journal of Data mining and Knowledge management Processâ€, Vol.2, No.12,.pp. 31-40. July 2012

S. Balaji and Dr. K. Srinivasta, “Naïve Bayes Classification Approach for Mining Life Insurance Databases for Effective Prediction of Customer Preferences over Life Insurance Products†, International journal of Computer Applications, vol.51, No.3, pp.22-26. August 2012

Kanwal garg, Dharminder kumar and m.c.garg, “,Data mining techniques for identifying the customer behavior of investment in life insurance sector in indiaâ€, International journal of information technology and knowledge management, Vol.1, pp.51-56.

Cheng C.H. and Chen Y.S. (2009), “Classifying the segmentation of customer value via RFM model and RS theoryâ€, Expert Systems with Applications, Vol.36, pp. 4176-4184.

Gulshan Vohra and Dr. Bhart Bhushan “ Data mining techniques for analyzing the investment behavior of customers in life insurance sectorâ€, International Journal of Research in Engineering & Applied Sciences, Vo 2, Issue 1 January 2012.

H.Lookman Sithic, T.Balasubramanian, “Survey of Insurance Fraud Detection Using Data Mining Techniquesâ€, International Journal of Innovative Technology and Exploring Engineering, Vol-2, Issue-3, February 2013.

Kuo-Chung Lin , Ching-Long Yeh,†Use of Data Mining Techniques to Detect Medical Fraud in Health Insuranceâ€, International Journal of Engineering and Technology Innovation, vol. 2, no. 2, pp. 126-137, 2012

Derrig R. A., "Insurance fraud," Journal of Risk and Insurance, vol. 69.3, pp. 271-287, 2002.

T. L. Oshini Goonetilleke and H. A. Caldera ,†Mining Life Insurance Data for Customer Attrition Analysis “,Journal of Industrial and Intelligent Information Vol. 1, No. 1, March 2013

Gabor Melli , Osmar R. Zaïane ,Brendan Kitts, “Introduction to the Special Issue on Successful Real-World Data Mining Applications “, SIGKDD Explorations Vol 8, Issue 1.

Nanthawadee Sucharittham, ,Thanaruk heeramunkong Choochart Haruechaiyasak, Bao Tu Ho, Dam Hieu Chi, “Data Mining for Life Insurance Knowledge Extraction: A Surveyâ€.

. Rekha Bhowmik, “Detecting Auto Insurance Fraud by Data Mining Techniquesâ€, Journal of Emerging Trends in Computing and Information Sciences , Volume 2 No.4, Aprill 2011

Abdhesh Gupta Anwiti,â€Life Insurance Recommender System Based on Association Rule Mining and Dual Clustering Method for Solving Cold start problem “,International Journal of Advanced Research in Computer Science and Software Engineering , Vol 3, Issue 10, October 2013.

Dilbag singh,Pradeep Kumar, “Conceptual Mapping of Insurance Risk Management to Data Miningâ€, International Journal of Computer Applications, Vol. 39, No.2, pp.13-18 2012.

Jayanthi Ranjan, Raghuvir Singh, “Analytical customer relationship management in insurance industry using data mining: a case study of Indian insurance companyâ€, International Journal of Networking and Virtual Organisations,Vol. 9, No. 4, pp. 331-366 .2011.

Xu Zhikun1, Wang Yanwen2 and Liu Zhaohui, â€Optional Insurance Compensation Rate Selection and Evaluation in Financial Institutions “, International Journal of u- and e- Service, Science and Technology,Vol.7, No.1 , pp.233-242 ,2014

Miguéis V.L., Camanho A.S., João Falcão e Cunha (2012), “Customer data mining for lifestyle segmentationâ€, Expert Systems with Applications,Vol.39, pp. 9359-9366.

M. Venkatesh â€A Study Of Trend Analysis In Insurance Sector In India “,International Journal Of Engineering And Science (IJES) ,Volume 2 ,Issue 6,pp 01-05, June 2013.

Mrs.Bharati M. Ramageri, “Data mining techniques and Applicationsâ€, Indian journal of computer science & engineering, Vol1, No.4, pp.301-305.

Jayanthi Ranjan †Data mining in pharma sector : benefitsâ€, IJHCQA, Vol. 22 No. 1, 2009, pp. 82-92.

Ashok Goudar, “Predictive Analytics in insurance Serviesâ€, MPHASIS, Hp company.

. “Insurance Industry, challenges reforms and allignementâ€, Confederation of Indian Industry.

Published
2015-11-03
How to Cite
Umamaheswari, K., & Janakiraman, S. (2015). Role of Data mining in Insurance Industry. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(6). Retrieved from https://www.ijact.in/index.php/ijact/article/view/305