Web access path prediction using fuzzy case based reasoning

Chi Keung Simon Shiu, Cody K.P. Wong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

In this paper, a fuzzy case based reasoning approach to Web access path prediction is developed and tested. It is based on the assumption that new user's access patterns can be predicted by referencing to the behaviors of similar Web users in the past. This method has three phases. Firstly, a Web case base is constructed from the Web log data. This includes the pre-processing and cleaning of the Web log data so that a suitable format is developed. Secondly, contextual information is extracted from the Web pages, and this information is used to develop a similarity measurement between Web pages. This information is added to the Web case base. Finally, fuzzy association rule mining is used to discover the relationship between the browsing behavior (user navigations) and the Web contents using the Web case base. A set of predictive cases from the Web case base is then selected for the access path prediction. From the experimental evaluation, our approach has demonstrated better prediction accuracy than the existing approaches.
Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
Pages135-140
Number of pages6
Publication statusPublished - 1 Dec 2005
Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
Duration: 14 Sep 200516 Sep 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3683 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
Country/TerritoryAustralia
CityMelbourne
Period14/09/0516/09/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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