• DocumentCode
    3229065
  • Title

    Improving Web Site Content Using a Concept-Based Knowledge Discovery Process

  • Author

    Rios, Sebastian A. ; Velasquez, Juan D. ; Vera, Eduardo S. ; Yasuda, Hiroshi ; Aoki, Terumasa

  • Author_Institution
    Appl. Inf. Eng. Lab., Tokyo Univ.
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    361
  • Lastpage
    365
  • Abstract
    Nowadays many organizations and enterprises have a Web site to help accomplish several business goals from sales to customer support. A very important activity for today´s managers is how to improve the experience of visitors in their Web site and make it more effective. Several techniques that use knowledge from visitors´ browsing behavior have shown good results to perform such task. However, how to introduce semantics into Web usage mining techniques is still a challenge. This work presents a way to obtain a semantic classification of visitors´ sessions using a conceptual mining process. We performed experiments in a real Web site
  • Keywords
    data mining; semantic Web; Web site content; Web usage mining technique; concept-based knowledge discovery process; conceptual mining process; semantic Web; Collaboration; Data mining; Frequency; Fuzzy logic; Industrial engineering; Knowledge engineering; Laboratories; Marketing and sales; Ontologies; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    0-7695-2747-7
  • Type

    conf

  • DOI
    10.1109/WI.2006.98
  • Filename
    4061395