Log Pre-Processing and Grammatical Inference for Web Usage Mining
Abstract
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.
Domains
Machine Learning [cs.LG]
Origin : Files produced by the author(s)
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