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
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;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.909
