A New Web Usage Mining and Visualization Tool

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 prototypes based on typicality computation to produce an efficient visualization of the activity of users on a website. The tool is evaluated on a real web log file from the French museum of Bourges website and shows that it can easily produce meaningful visualizations of typical user navigation.