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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.

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Index Terms

Computer Science
Information Sciences

Keywords

Insurance Risk Management Data mining