%0 Journal Article
%T Bayesian network consumer credit scoring models based on minimum overall risk rule<br>最小总风险准则的贝叶斯网络个人信用评估模型*
%A LI Xu-sheng
%A GUO Chun-xiang
%A CHEN Kai-yab
%A <br>李旭升
%A 郭春香
%A 陈凯亚b
%J 计算机应用研究
%D 2009
%I 
%X This paper integrated MOR(minimum overall risk rule) into Bayesian network classifiers, and proposed new credit scoring models. According to MOR, they were tested using 10-fold cross validation with two real world data sets, and compared with Bayesian network classifier based on MPE. Results demonstrate that the Bayesian network classifiers based on MOR are able to reduce effectively the credit scoring risk.
%K consumer credit scoring
%K minimum overall risk rule(MOR)
%K minimum probability of error rule(MPE)
%K Bayesian network classifiers<br>个人信用评估
%K 最小总风险准则
%K 最小错误概率准则
%K 贝叶斯网络分类器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=62CBE72B17862B12B83D236A66F45FBB&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=CA4FD0336C81A37A&sid=771152D1ADC1C0EB&eid=8E6AB9C3EBAAE921&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=15