The application of machine learning algorithm in underwriting process

Author

Tan, Yi ; Zhang, Guo-ji

Author_Institution

Sch. of Math. Sci., South China Univ. of Technol., Guangzhou, China

Volume

6

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

3523

Abstract

This paper firstly analyses the actual underwriting methods of Chinese life insurance companies, and points out the merits and shortcomings of these methods. Then the incomplete database of insurance company is mined by the data mining´s association rule algorithm. Thirdly the support vector machine (SVM) is applied to the underwriting process to classify the applicants. Finally the directions for improving this algorithm are pointed out. The algorithm proposed in this paper has promising future in underwriting process.

Keywords

data mining; insurance data processing; learning (artificial intelligence); pattern classification; support vector machines; Chinese life insurance company; applicants classification; association rule algorithm; data mining; machine learning algorithm; support vector machine; underwriting process; Association rules; Data mining; Databases; Hazards; Insurance; Kernel; Machine learning; Machine learning algorithms; Support vector machine classification; Support vector machines; Support Vector Machine; Underwriting process; association rule; kernel function; machine learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527552

Filename

1527552