Comparative Study on Bank Loan Credit Risk Assessment Methods Based on Data Mining

被引：0
|
作者：
Pang, Liyan [1 ]
Ye, Qiang [1 ]
机构：
[1] Harbin Inst Technol, Dept Management, Harbin 150001, Peoples R China
来源：
PROCEEDINGS OF 2008 INTERNATIONAL PRE-OLYMPIC CONGRESS ON COMPUTER SCIENCE, VOL I: COMPUTER SCIENCE AND ENGINEERING | 2008年
关键词：
data mining; Artificial Neural Network; Genetic Algorithm; credit risk assessment;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper studies the performance of different data mining methods in commercial bank loan credit risk assessment. We use Artificial Neural Network and Genetic Algorithm to set up housing loan credit risk assessment models separately and then compare the strengths and weaknesses of the two models in risk assessment to help banks to analyze the credit risk of loan.
引用
收藏
页码：224 / 229
页数：6
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