A tool for web usage mining

  • Authors:
  • Jose M. Domenech;Javier Lorenzo

  • Affiliations:
  • Hospital Juan Carlos I, Las Palmas, Spain;Inst. of Intelligent Systems and Num. Applic. in Engineering, Univ. of Las Palmas, Las Palmas, Spain

  • Venue:
  • IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
  • Year:
  • 2007

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Abstract

This paper presents a tool for web usage mining. The aim is centered on providing a tool that facilitates the mining process rather than implement elaborated algorithms and techniques. The tool covers different phases of the CRISP-DM methodology as data preparation, data selection, modeling and evaluation. The algorithms used in the modeling phase are those implemented in the Weka project. The tool has been tested in a web site to find access and navigation patterns.