Visual Web Mining

Amir H. Youssefi, David J. Duke, Mohammed J. Zaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Analysis of web site usage data involves two significant challenges: firstly the volume of data, arising from the growth of the web, and secondly, the structural complexity of web sites. In this paper we apply Data Mining and Information Visualization techniques to the web domain in order to benefit from the power of both human visual perception and computing; we term this Visual Web Mining. In response to the two challenges, we propose a generic framework, where we apply Data Mining techniques to large web data sets and use Information Visualization methods on the results. The goal is to correlate the outcomes of mining Web Usage Logs and the extracted Web Structure by visually superimposing the results. We design several new information visualization diagrams.

Original languageEnglish
Title of host publicationThirteenth International World Wide Web Conference Proceedings, WWW2004
Pages1126-1127
Number of pages2
Publication statusPublished - 1 Dec 2004
EventThirteenth International World Wide Web Conference Proceedings, WWW2004 - New York, NY, United States
Duration: 17 May 200422 May 2004

Publication series

NameThirteenth International World Wide Web Conference Proceedings, WWW2004

Other

OtherThirteenth International World Wide Web Conference Proceedings, WWW2004
CountryUnited States
CityNew York, NY
Period17/5/0422/5/04

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Keywords

  • Data Mining
  • Frequent Access Patterns
  • Information Visualization
  • Visual Data Exploration
  • Web Usage Mining

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Youssefi, A. H., Duke, D. J., & Zaki, M. J. (2004). Visual Web Mining. In Thirteenth International World Wide Web Conference Proceedings, WWW2004 (pp. 1126-1127). (Thirteenth International World Wide Web Conference Proceedings, WWW2004).