DocumentCode
3501977
Title
Research on Personal Credit Evaluation Model Based on Bayesian Network and Association Rules
Author
Yang Dong-peng ; Li Jin-lin
Author_Institution
Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
3677
Lastpage
3680
Abstract
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.
Keywords
belief networks; credit transactions; data mining; probability; Bayesian network; GeNIe software; WEKA software; association rules; graphical model; personal credit evaluation; probabilistic relationship; Association rules; Bayesian methods; Data mining; Databases; Decision making; Economic forecasting; Probability; Stochastic processes; Technology management; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.909
Filename
4340684
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