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The task of clustering web sessions is to group web sessions based on similarity and consists of maximizing the intra-group similarity while minimizing the inter-group similarity. The results of Web session clustering can be used in personalization, system improvement, site modification, business intelligence, usage characterization and so forth. This paper proposes a framework of Web session clustering first. Then several data preparation techniques that can be used to improve the performance of data preprocessing are presented.
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