Dynamic website mining
Nico Jacobs, Ann Heylighen, Hendrik Blockeel · Lirias · 2001
Web servers log how a user interacts with a website. This can provide the website author with valuable information about the `audience' of the site. However with dynamically generated pages, such an analysis has become more difficult. In this paper we present some ideas about how machine learning techniques can be used to analyse these data. We apply these techniques to real world data and present preliminary results.