Automatic classification of user access patterns on the web

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

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

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
Title of host publicationProceedings of the International Conference on Internet Computing
EditorsP. Langendoerfer, O. Droegehorn
Pages801-808
Number of pages8
Volume2
Publication statusPublished - 2003
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
CountryUnited 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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  • Cite this

    Ramadhan, H. A., Shihab, K., Ali, J., Al-Lawati, H., Al-Khanjri, Z., & Kutti, S. (2003). Automatic classification of user access patterns on the web. In P. Langendoerfer, & O. Droegehorn (Eds.), Proceedings of the International Conference on Internet Computing (Vol. 2, pp. 801-808)