• DocumentCode
    1622866
  • Title

    Web mining: information and pattern discovery on the World Wide Web

  • Author

    Cooley, R. ; Mobasher, B. ; Srivastava, J.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN, USA
  • fYear
    1997
  • Firstpage
    558
  • Lastpage
    567
  • Abstract
    Application of data mining techniques to the World Wide Web, referred to as Web mining, has been the focus of several recent research projects and papers. However, there is no established vocabulary, leading to confusion when comparing research efforts. The term Web mining has been used in two distinct ways. The first, called Web content mining in this paper, is the process of information discovery from sources across the World Wide Web. The second, called Web usage mining, is the process of mining for user browsing and access patterns. We define Web mining and present an overview of the various research issues, techniques, and development efforts. We briefly describe WEBMINER, a system for Web usage mining, and conclude the paper by listing research issues
  • Keywords
    Internet; human factors; information retrieval; knowledge acquisition; WEBMINER; Web content mining; Web mining; Web usage mining; World Wide Web; access patterns; data mining techniques; information discovery; pattern discovery; research issue; user browsing; Computer science; Data engineering; Data mining; Information analysis; Information resources; Intelligent agent; Search engines; Taxonomy; Web mining; Web sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1997. Proceedings., Ninth IEEE International Conference on
  • Conference_Location
    Newport Beach, CA
  • ISSN
    1082-3409
  • Print_ISBN
    0-8186-8203-5
  • Type

    conf

  • DOI
    10.1109/TAI.1997.632303
  • Filename
    632303