WEB USAGE MINING OF USERS PREDICTIONS IN THE UNIVERSITY

Authors

  • Ulises Román Concha
  • Luis Alarcón

Keywords:

Data mining, web mining, patterns files Logs, clustering, rules association, servers.

Abstract

This work presents the techniques, tools and strategies of web mining. Focus in analysis, processing and prediction of human and organizations behavior, based in access and use of web, in order to do some operation. The web mining is a process of identification, extraction of automatic information from web. In this work we use the technique of rules association from web using mining. As result, we present the algorithm Apriori using the rules association to determine the behavior of users and professors form this university when they access and extract and kind of information.

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Published

2005-12-30

Issue

Section

Artículos

How to Cite

[1]
“WEB USAGE MINING OF USERS PREDICTIONS IN THE UNIVERSITY”, Rev.Investig.sist.inform., vol. 2, no. 3, pp. 7–13, Dec. 2005, Accessed: Jun. 04, 2025. [Online]. Available: https://revistasinvestigacion.unmsm.edu.pe/index.php/sistem/article/view/3468