Automatic classification of user access patterns on the web

H. A. Ramadhan, K. Shihab, J. Ali*, H. Al-Lawati, Z. Al-Khanjri, S. Kutti

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper presents a framework for theme-based search engines. The framework mainly deals with automatically classifying user access patterns on the Web into general topics or themes by using data mining and distance based clustering techniques. The goal is to start with Proxy log files and end with themes that would describe user models, which in turn would be regarded as goals that could be given to future search agents or theme based search engines.

Original languageEnglish
Pages801-808
Number of pages8
Publication statusPublished - 2003
Externally publishedYes
EventProceedings of the International Conference on Internet Computing, IC'03 - Las Vegas, NV, United States
Duration: Jun 23 2003Jun 26 2003

Other

OtherProceedings of the International Conference on Internet Computing, IC'03
Country/TerritoryUnited States
CityLas Vegas, NV
Period6/23/036/26/03

Keywords

  • Clustering
  • Search engines
  • Web data mining and knowledge discovery

ASJC Scopus subject areas

  • Computer Networks and Communications

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