%0 Journal Article
%T Mining method of credit evaluation model based on gene expression programming<br>基于基因表达式编程的信用评估模型挖掘方法
%A WU Jiang
%A TANG Chang-jie
%A DUAN Lei
%A LI Tai-yong
%A <br>吴江
%A 唐常杰
%A 段磊
%A 李太勇
%J 计算机应用
%D 2007
%I 
%X A new mining method of credit evaluation model based on Gene Expression Programming(GEP),named GEP-CREDIT,was presented.The GEP-CREDIT model can extract relative attributions and fuse them automatically.Based on these attributions,GEP-CREDIT model can train and build the credit evaluation model.Experiments and performance analysis on Germany credit database were given.The results show that,compared with Nave Bayes algorithm,SVM algorithm,and KNN(K=17)algorithm,the prediction precision is increased by 3%,1.6% and 6.83% respectively by using GEP-CREDIT model.
%K data mining
%K Gene Expression Programming (GEP)
%K credit evaluation<br>数据挖掘
%K 基因表达式编程
%K 信用评估
%K 基于基因表达式编程
%K 信用评估模型
%K 挖掘方法
%K programming
%K gene
%K expression
%K based
%K evaluation
%K model
%K credit
%K method
%K of
%K 精度提高
%K 预测
%K Bayes
%K 分析表
%K 性能
%K 实验
%K 数据集
%K 库真
%K 信用数据
%K 德国
%K 训练
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=6922F7D5C000BE69493301EA67E484D6&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=A766A50385B9FB1F&eid=750AE535ABE3D62A&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10