• DocumentCode
    2729716
  • Title

    Research and design of ID3 algorithm rules-based anti-spam email filtering

  • Author

    Zhang, Yiwen ; Ding, Lili ; Wang, Yun

  • Author_Institution
    Inf. Eng. Software Dept., Anhui Xinhua Univ., Hefei, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    572
  • Lastpage
    575
  • Abstract
    The volume of junk emails on the Internet has grown tremendously in the past few years and is causing serious problems. So that we pay attention to anti-spam filtering technology research and development. By using data mining technology to spam effectively filter that effectively reducing the impact of spam on the user. For a large number of E-mail ID3 algorithms based on rule restriction in this paper, which through data mining techniques to filter out junk mail filter and applied to the mail system. In this paper, the Chinese e-mail subject and body text information will be filtered.
  • Keywords
    Internet; data mining; security of data; unsolicited e-mail; Chinese e-mail subject; ID3 algorithm rules; Internet; antispam email filtering; data mining technology; junk mail filter; ID3; algorithm; chinese information; junk email;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9699-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2011.5982380
  • Filename
    5982380