Using the KDD process to support Web site reconfigurations

J. D. Velásquez, H. Yasuda, T. Aoki, R. Weber

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

7 Citations (Scopus)

Abstract

The continuous improvement of a Web site's content, can be the key to attract new customers or maintain the existing ones. A way to obtain such improvement, is to study the behavior of a user while browsing in the Web. For the analysis of this behavior two variables are of particular interest: the pages visited during a user session and the time spent in each one of them. The respective Web log files contain part of this data. These files, however, can contain a huge number of registers where large part of them possibly do not contain relevant information. This is one of the reasons why finding initially unknown and useful relations in Web log registers is a complex task, which can be performed applying the process of knowledge discovery in databases (KDD). We propose a methodology for Web mining based on a data mart model. We applied this methodology analyzing log files from a certain Web site. The respective results, gave very important insights regarding visitors behavior and preferences. This knowledge has been used in the Web site's reconfiguration.

Original languageEnglish
Title of host publicationProceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003
EditorsJiming Liu, Nick Cercone, Matthias Klusch, Chunnian Liu, Ning Zhong
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages511-515
Number of pages5
ISBN (Electronic)0769519326, 9780769519326
DOIs
Publication statusPublished - 2003 Jan 1
EventIEEE/WIC International Conference on Web Intelligence, WI 2003 - Halifax, Canada
Duration: 2003 Oct 132003 Oct 17

Publication series

NameProceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003

Other

OtherIEEE/WIC International Conference on Web Intelligence, WI 2003
CountryCanada
CityHalifax
Period03/10/1303/10/17

Keywords

  • Cleaning
  • Continuous improvement
  • Data mining
  • Databases
  • Decision making
  • Industrial engineering
  • Intelligent agent
  • Internet
  • Web mining
  • Web pages

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Computer Networks and Communications
  • Human-Computer Interaction
  • Information Systems and Management

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  • Cite this

    Velásquez, J. D., Yasuda, H., Aoki, T., & Weber, R. (2003). Using the KDD process to support Web site reconfigurations. In J. Liu, N. Cercone, M. Klusch, C. Liu, & N. Zhong (Eds.), Proceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003 (pp. 511-515). [1241254] (Proceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WI.2003.1241254