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Reseach Article

Conceptual Mapping of Insurance Risk Management to Data Mining

by Dilbag Singh, Pradeep Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 2
Year of Publication: 2012
Authors: Dilbag Singh, Pradeep Kumar
10.5120/4791-7026

Dilbag Singh, Pradeep Kumar . Conceptual Mapping of Insurance Risk Management to Data Mining. International Journal of Computer Applications. 39, 2 ( February 2012), 13-18. DOI=10.5120/4791-7026

@article{ 10.5120/4791-7026,
author = { Dilbag Singh, Pradeep Kumar },
title = { Conceptual Mapping of Insurance Risk Management to Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 2 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number2/4791-7026/ },
doi = { 10.5120/4791-7026 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:25:22.737866+05:30
%A Dilbag Singh
%A Pradeep Kumar
%T Conceptual Mapping of Insurance Risk Management to Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 2
%P 13-18
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Insurance industry contributes largely to the economy therefore risk management in this industry is very much necessary. In the insurance parlance, the risk management is a tool identifying business opportunities to design and modify the insurance products. Risk can have severe impact in case not managed properly and timely. The mapping of risk management with data mining will help organizations to analyse risks and formulate risk mitigation and prevention techniques more efficiently and effectively. This paper aims to study the conceptual mapping of various task of insurance risk management to data mining. A new paradigm has been suggested for insurance risk management using the main attributes and key aspects of data mining.

References
  1. Christopher L Culp 2001. The Risk Management Process- Business Strategy and Tactics. John Wiley & Sons, Inc., New York.
  2. Chen Gang 2009. Mathematics and applications of Risk Management in E-commerce. ISECS International Colloquium on computing, communication, Control, and Management
  3. Yu Yan, Haiying Xie 2009. Research on the Application of Data Mining Technology in Insurance Informatization’ In Proceedings of the International conference on Hybrid Intelligent Systems(HIS), PP. 202-205 © IEEE
  4. Jianxin Bi, 2010. Research for Customer Segmentation of Medical Insurance Based on K-means and C&R Tree Algorithms” In Proceedings of the International conference on semantics knowledge and grids (SKG),PP. 359-362 © IEEE
  5. E.B. Belhadji, G. Dionne, and F. Tarkhani 2000. A model for the detection of insurance fraud. Geneva Papers on Risk and Insurance-Issues and Practice, vol. 25, pp. 517-539.
  6. M. Artis, A. Mercedes, and M. Guillen 2002 Detection of automobile insurance fraud with discrete choice models and misclassified claims. The Journal of Risk and Insurance, vol. 69, no. 3, pp. 325-340
  7. Williams, Graham J. and Simoff, Simeon J. 2006. Data Mining Theory, Methodology, Techniques, and Applications. Lecture Note in Computer Science/ Lecture Note in Artificial Intelligence, Springer
  8. Yanghu. 2004. Linear Mining Algorithms Design for Outliers in Financial Time Series and its Authentic Proofs. Chinese Journal of Management Science,12(6):7-11
  9. Hand D. J., Mannil H. & Smyth P. 2001. Principles of Data Mining Cambridge MA: MIT Press,
  10. Jeffrey W. Seifert 2004. Data Mining – An Overview” in proceedings of CRS report for congress
  11. Gupta G.K 2008. Introduction to data mining with case studies”, PHI private ltd.
  12. Insurance Regulatory and Development Authority (IRDA) India, Annual Report 2009-10.
  13. Johnson Terence 2010. Conceptual Mapping of Risk Management to Data Mining. In Proceedings of the ICETET, PP. 636-641, © IEEE
  14. XindongWu , Vipin Kumar and others 2008. Top 10 algorithms in data mining. Knowledge and Information System, vol- 14 pp 1–37
Index Terms

Computer Science
Information Sciences

Keywords

Insurance Risk Management Data mining