DocumentCode
2847637
Title
Application of Bayesian Method to Spam SMS Filtering
Author
Zhang, Hong-Yan ; Wang, Wei
Author_Institution
Dept. of Comput., Henan Inst. of Eng., Zhengzhou, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
3
Abstract
SMS has become an indispensable tool in people´s life. How to help people effectively anti spam SMS and create a healthy, harmonious and ordered environment has become a new research hotspot. On the basis of learning Bayesian learning theory, this thesis mainly researches Bayesian classification model and Bayesian decision based on the minimum risk.
Keywords
Bayes methods; electronic messaging; information filtering; unsolicited e-mail; Bayesian classification model; Bayesian decision model; Bayesian learning theory; Bayesian method; spam SMS filtering; Application software; Bayesian methods; Computers; Filtering; Matched filters; Mobile handsets; Postal services; Space technology; Text categorization; Unsolicited electronic mail;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5365176
Filename
5365176
Link To Document