Title
A New Web Usage Mining and Visualization Tool
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.
Year
DOI
Venue
2007
10.1109/ICTAI.2007.102
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference
Keywords
Field
DocType
Web sites,data mining,French museum of Bourges Website,Web log file,Web usage mining,biomimetic relational clustering algorithm,users activity visualization
Static web page,World Wide Web,Web mining,Web page,Web analytics,Computer science,Web mapping,Data Web,Web modeling,Web navigation
Conference
Volume
ISSN
ISBN
1
1082-3409
978-0-7695-3015-4
Citations 
PageRank 
References 
3
0.52
19
Authors
3
Name
Order
Citations
PageRank
Nicolas Labroche113917.87
Marie-Jeanne Lesot2251.96
Lionel Yaffi330.52