• 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