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A New Web Usage Mining and Visualization Tool

conferencePaper

DOI:10.1109/ICTAI.2007.102
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Authors: Labroche Nicolas / Lesot Marie-Jeanne / Yaffi Lionel

Extracted 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. 1.

Level 1: Include/Exclude

  • Papers must discuss situated information visualization* (by Willet et al.) in the application domain of CH.
    *A situated data representation is a data representation whose physical presentation is located close to the data’s physical referent(s).
    *A situated visualization is a situated data representation for which the presentation is purely visual – and is typically displayed on a screen.
  • Representation must include abstract data (e.g., metadata).
  • Papers focused solely on digital reconstruction without information visualization aspects are excluded.
  • Posters and workshop papers are excluded to focus on mature research contributions.
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