DocumentCode
2353769
Title
Spam Filter for Short Messages Using Winnow
Author
Cai, Jie ; Tang, Yuezhong ; Hu, Rile
Author_Institution
Nokia Res. Center, Beijing
fYear
2008
fDate
23-25 July 2008
Firstpage
454
Lastpage
459
Abstract
Unsolicited bulk short message (namely spam message) is a major problem for mobile phone users. In this paper, an updatable spam filter embedded in mobile phone will be presented. Based on the traditional balanced Winnow algorithm, the system has been improved in many aspects which help to get better performance. Our spam filter is designed to process the raw text materials without time-consuming word segmentation for Chinese, and most importantly, to be easily extended to multi-class pattern by extending the original Winnow algorithm to multiple classifier. Detailed evaluations discussed in this paper will provide a strong support to the further research on spam filter for short messages.
Keywords
classification; electronic messaging; information filtering; information filters; mobile computing; mobile radio; text analysis; unsolicited e-mail; Chinese word segmentation; balanced Winnow algorithm; mobile phone user; multiclass pattern classifier; text classification; unsolicited bulk short message; updatable spam filter design; Algorithm design and analysis; Classification algorithms; Filtering algorithms; Information filtering; Information filters; Information technology; Matched filters; Mobile handsets; Process design; Unsolicited electronic mail;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Language Processing and Web Information Technology, 2008. ALPIT '08. International Conference on
Conference_Location
Dalian Liaoning
Print_ISBN
978-0-7695-3273-8
Type
conf
DOI
10.1109/ALPIT.2008.14
Filename
4584409
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