Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527552
