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
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;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5365176
