Title :
The application of Naive Bayesian Classification in anti-fraud system of telecommunications
Author_Institution :
Dept. of Phys. & Telecommun. Eng., Hunan City Univ., Yiyang, China
Abstract :
Fraud in the telecommunications industry is growing, and it has seriously affected the development of the industry. Naive Bayesian Classification in data mining has a market value in the anti-fraud systems used in telecommunications. And it can tap the potential risks and identify the customers´ fraud, so as to solve much small-scale dispersion of a large telecommunications fraud.
Keywords :
data mining; pattern classification; telecommunication computing; telecommunication industry; telecommunication security; Naive Bayesian classification; customer fraud; data mining; telecommunication antifraud system; telecommunication industry; Bayesian methods; Data mining; Data models; Databases; Industries; Telecommunications; Training; Data Mining; Naive Bayesian Classification; Telecommunications Fraud;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6019734
