• DocumentCode
    3252641
  • Title

    Visual data mining to discover knowledge patterns from Web navigational trends

  • Author

    Neelima, N. ; Shazmeen, Syeda Farha

  • Author_Institution
    Dept. of Inf. Technol., Balaji Inst. of Technol. & Sci., Warangal, India
  • fYear
    2011
  • fDate
    21-23 Dec. 2011
  • Firstpage
    117
  • Lastpage
    120
  • Abstract
    Discovering web navigational trends and understanding data mining results which is useful to web designers and web-based application builders. It is also desirable to interactively investigate web access data and patterns, Visualizing the usage data in the context of the web site structure is of major importance, as it puts web access requests and their connectivity in perspective. The visualization tool we used to represent the data mining functionalities to generate new patterns. Here we present our visual data mining system, WebViz, which allows interactive investigation of web usage data within their structure context, as well as ad-hoc knowledge, by using Webwiz pattern discovery on web navigational behaviour.
  • Keywords
    Internet; Web design; data mining; data visualisation; information retrieval; Web data access; Web designer; Web navigational trends; Web site structure; Web usage data; Web-based application builder; WebViz; Webwiz pattern discovery; ad-hoc knowledge; knowledge pattern discovery; pattern generation; visual data mining; visualization tool; Data visualization; Knowledge engineering; Layout; Navigation; Visualization; Web mining; Visual Data Mining; WebVisualization; knowledge pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Trends in Information Systems (ReTIS), 2011 International Conference on
  • Conference_Location
    Kolkata
  • Print_ISBN
    978-1-4577-0790-2
  • Type

    conf

  • DOI
    10.1109/ReTIS.2011.6146851
  • Filename
    6146851