Mining interesting knowledge from weblogs: a survey

  • Authors:
  • Federico Michele Facca;Pier Luca Lanzi

  • Affiliations:
  • Dipartimento di Elettronica e Informazione, Artificial Intelligence and Robotics Laboratory, Politecnico di Milano, 20133 Milano, Italy;Dipartimento di Elettronica e Informazione, Artificial Intelligence and Robotics Laboratory, Politecnico di Milano, 20133 Milano, Italy

  • Venue:
  • Data & Knowledge Engineering
  • Year:
  • 2005

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Abstract

Web Usage Mining is that area of Web Mining which deals with the extraction of interesting knowledge from logging information produced by Web servers. In this paper we present a survey of the recent developments in this area that is receiving increasing attention from the Data Mining community.