A New Web Usage Mining and Visualization Tool

  • Authors:
  • Nicolas Labroche;Marie-Jeanne Lesot;Lionel Yaffi

  • Affiliations:
  • -;-;-

  • Venue:
  • ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper introduces a new tool for web usage mining and visualization that relies on the bio-mimetic relational clustering algorithm Leader Ant and the definition of pro- totypes based on typicality computation to produce an effi- cient visualization of the activity of users on a website. The tool is evaluated on a real web log file from the French mu- seum of Bourges website and shows that it can easily pro- duce meaningful visualizations of typical user navigation.