Research on Personal Credit Evaluation Model based on Bayesian Network and Association Rules

被引：0

作者：

Yang Dong-peng ^{[1
]}

Li Jin-lin ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15 | 2007年

关键词：

Data mining; Bayesian network; Association rules; Proofless prediction;

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：

Bayesian network is a graphical model which represents probabilistic relationships among variables in a database. This paper firstly discusses the advantages of Bayesian network and association rules, then combines them together to build a personal credit network model, and finally presents an instance to indicate the applications with WEKA and GeNIe software. The experimental result shows that this model has a convincing performance.

引用

页码：3677 / 3680

页数：4