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Conference papers

Identification de communautés d'usage du web depuis un graphe issu des fichiers d'accès

Abstract : The extraction of user behavior in the process ofWeb Usage Mining has attracted a growing interest and is the subject of several researches that have been proposed to analyze log files and provide a useful knowledge to restructure and customize the design of a web site. In this paper, we present an approache for extracting data based on the modularity function and we discuss the obtained results. This approach discovers the existing communities by modeling the data obtained in the pre-processing operation as a weighted graph. The method discriminates the communities through their subject of interest and extract a relevant knowledge.
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Conference papers
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https://hal.inria.fr/hal-00785136
Contributor : Nathalie Gaudechoux <>
Submitted on : Tuesday, February 5, 2013 - 2:47:36 PM
Last modification on : Thursday, March 5, 2020 - 4:49:30 PM

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  • HAL Id : hal-00785136, version 1

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Yacine Slimani, Abdelouahab Moussaoui, Yves Lechevallier, Ahlem Drif. Identification de communautés d'usage du web depuis un graphe issu des fichiers d'accès. Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC), Jan 2012, Bordeaux, France. pp.525-530. ⟨hal-00785136⟩

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