DocumentCode
2651220
Title
Notice of Retraction
Analysis on application of data mining upon rate making and risk analysis in insurance
Author
Jianbing Xiahou ; Yang Mu
Author_Institution
Software Sch., Xiamen Univ., Xiamen, China
Volume
2
fYear
2010
fDate
16-18 April 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, we analysis data of insurance on motor vehicles of some branch of PICC P&C(Peoples Insurance Company of China). We compare the results of data mining approach and traditional approach, to demonstrate the advantage of the former. Data mining approach can process some parts of rate making automatically, adjust rate structure and build a rational rate making system in insurance. In addition, It contributes to the recognition of high-risk customer, thus the loss rate will be controlled.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, we analysis data of insurance on motor vehicles of some branch of PICC P&C(Peoples Insurance Company of China). We compare the results of data mining approach and traditional approach, to demonstrate the advantage of the former. Data mining approach can process some parts of rate making automatically, adjust rate structure and build a rational rate making system in insurance. In addition, It contributes to the recognition of high-risk customer, thus the loss rate will be controlled.
Keywords
data mining; insurance data processing; risk analysis; Peoples Insurance Company of China; data mining; insurance; motor vehicles; rate making; risk analysis; Accidents; Data analysis; Data mining; Exponential distribution; Gaussian distribution; Insurance; Law; Pricing; Risk analysis; Vehicles; Data mining; Rate making; risk analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485538
Filename
5485538
Link To Document