Affiliations: Institute of Computing Science, Poznań
University of Technology, 60-965 Poznań, Poland.
{krzysztof.dembczynski,wojciech.kotlowski}@cs.put.poznan.pl | Web Mining Lab, Polish-Japanese Institute of
Information Technology, 02-008 Warszawa, Poland. msyd@pjwstk.edu.pl
Note: [] Address for correspondence: Web Mining Lab, Polish-Japanese
Institute of Information Technology, Koszykowa 86, 02-008 Warsaw, Poland
Abstract: The paper concerns the problem of predicting behaviour of web users,
based on real historical data which constitutes an important issue in web
mining. The research reported here was conducted while the authors
participated in the international ECML/ PKDD 2007 Discovery Challenge
competition – Track 1. The results presented here ended up as the winning solution to the
contest. We describe the contest tasks and the real industrial datasets
concerning the recorded behaviour of sample of Polish Web users on which our
experiments were performed. We present the whole extensive experimental process from the data
preprocessing phase to exploratory analysis of the data to the experimental
comparison and discussion of various prediction models which we examined. As we explain, our solution has low time and space complexity,
scales well with large datasets and, at the same time, produces high-quality
results.
Keywords: user behaviour prediction, web mining, machine learning, experimentation, data analysis
