Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control

Study of Key Technologies of Insurance Claims Based on Data Mining

Authors
Wei Su
Corresponding Author
Wei Su
Available Online April 2016.
DOI
10.2991/icmemtc-16.2016.355How to use a DOI?
Keywords
Technology; data mining; insurance claim
Abstract

As people's income level rises and the changes of consumer consciousness, the number of insurance product is increasing, the public enthusiasm for buying insurance is higher and higher, as a result the insurance industry is developing rapidly. At the same time, policymakers should notice when gaining huge interest that risks existing in the industry. In the insurance industry, in the study of earlier customer claims, there is little involved in the field of data mining, mostly using traditional statistical methods or purely professional analysis. Although these methods can find some surface features of claims, such as repeated insurance, frequent and high insurance etc., they may have ignored the implied and undiscovered valuable information in huge amounts of data, while data mining is a new method to study from different angles.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/icmemtc-16.2016.355
ISSN
2352-5401
DOI
10.2991/icmemtc-16.2016.355How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wei Su
PY  - 2016/04
DA  - 2016/04
TI  - Study of Key Technologies of Insurance Claims Based on Data Mining
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1891
EP  - 1895
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.355
DO  - 10.2991/icmemtc-16.2016.355
ID  - Su2016/04
ER  -