DocumentCode
553133
Title
The application of Naive Bayesian Classification in anti-fraud system of telecommunications
Author
Gong Lun-feng
Author_Institution
Dept. of Phys. & Telecommun. Eng., Hunan City Univ., Yiyang, China
Volume
2
fYear
2011
fDate
26-28 July 2011
Firstpage
1061
Lastpage
1064
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-180-9
Type
conf
DOI
10.1109/FSKD.2011.6019734
Filename
6019734
Link To Document