loading...
A New Web Usage Mining and Visualization Tool
Paris, France October 29-October 31
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.10219th IEEE International Conference on ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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.
Citation:
Nicolas Labroche, Marie-Jeanne Lesot, Lionel Yaffi, "A New Web Usage Mining and Visualization Tool," ictai, vol. 1, pp.321-328, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.1 (ICTAI 2007), 2007
Usage of this product signifies your acceptance of the Terms of Use.