Log Pre-Processing and Grammatical Inference for Web Usage Mining

Thierry Murgue (1, 2, 3)

1 EURISE - Equipe Universitaire de Recherche en Informatique de Saint Etienne
2 LHC - Laboratoire Hubert Curien
3 G2I-ENSMSE - Centre de Génie Industriel et Informatique

In this paper, we propose a Web Usage Mining pre-processing method to retrieve missing data from the server log files. Moreover, we propose two levels of evaluation: directly on reconstructed data, but also after a machine learning step by evaluating inferred grammatical models. We conducted some experiments and we showed that our algorithm improves the quality of user data.

Domaines: Apprentissage [cs.LG]

Thierry Murgue. Log Pre-Processing and Grammatical Inference for Web Usage Mining. UM 2005, 2005, Édimbourg, United Kingdom. pp.43-50. ⟨ujm-00366564⟩