• DocumentCode
    3226044
  • Title

    Terror tracking using advanced web mining perspective

  • Author

    Anand, T. ; Padmapriya, S. ; Kirubakaran, E.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., AVC Coll. of Eng., Mayiladuthurai, India
  • fYear
    2009
  • fDate
    22-24 July 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Web mining is a rapidly growing research area. It consists of Web usage mining, Web structure mining, and Web content mining. Web usage mining refers to the discovery of user access patterns from Web usage logs. Web structure mining tries to discover useful knowledge from the structure of hyperlinks. Web content mining aims to extract/mine useful information or knowledge from Web page contents. Web mining techniques can be used for detecting and avoiding terror threats caused by terrorists all over the world.
  • Keywords
    Internet; data mining; security of data; Web content mining; Web page content; Web structure mining; Web usage logs; Web usage mining; advanced Web mining; terror tracking; user access pattern discovery; Blogs; Computer science; Counting circuits; Data mining; Information technology; Machine learning; Terrorism; Text mining; Web mining; Web pages; content mining and patterns; structure mining; usage mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4244-4710-7
  • Type

    conf

  • DOI
    10.1109/IAMA.2009.5228034
  • Filename
    5228034