DocumentCode
532971
Title
A research of spam Identification and its disposal scheme
Author
Fang Fei-fei ; Qu Liang-bo
Author_Institution
Comput. Eng. Sch., Qingdao Technol. Univ., Qingdao, China
Volume
15
fYear
2010
fDate
22-24 Oct. 2010
Abstract
This paper presents a new Bayesian trigram model for filtering and identifying spam. On the basis of the low false positive rate, its Identification rate and accuracy are largely improved compared with the general Bayesian model. The article first explains the principle and realization of Bayesian trigram model. Then points out the advantages of it by comparing with the Bayesian model.
Keywords
belief networks; security of data; unsolicited e-mail; Bayesian trigram model; disposal scheme; false positive rate; spam filtering; spam identification rate; Algorithm design and analysis; Computers; Electronic mail; Filtering; Silicon compounds; Thesauri; Bayes; Identification; corpus; spam;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5622614
Filename
5622614
Link To Document