Abstract | ||
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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 Labroche | 1 | 139 | 17.87 |
Marie-Jeanne Lesot | 2 | 25 | 1.96 |
Lionel Yaffi | 3 | 3 | 0.52 |