Study of Key Technologies of Insurance Claims Based on Data Mining
- 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/).
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 -