WEB USAGE MINING WITH TIME CONSTRAINED ASSOCIATION RULES

Johan Huysmans, Christophe Mues, Jan Vanthienen, Bart Baesens

Abstract

Association rules are typically used to describe what items are frequently bought together. One could also use them in web usage mining to describe the pages that are often visited together. In this paper, we propose an extension to association rules by the introduction of timing constraints. Subsequently, the introduced concepts are used in an experiment to pre-process logfiles for web usage mining. We also describe how the method could be useful for market basket analysis and give an overview of related research. The paper is concluded by some suggestions for future research.

References

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Paper Citation


in Harvard Style

Huysmans J., Mues C., Vanthienen J. and Baesens B. (2004). WEB USAGE MINING WITH TIME CONSTRAINED ASSOCIATION RULES . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 343-348. DOI: 10.5220/0002614803430348


in Bibtex Style

@conference{iceis04,
author={Johan Huysmans and Christophe Mues and Jan Vanthienen and Bart Baesens},
title={WEB USAGE MINING WITH TIME CONSTRAINED ASSOCIATION RULES},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2004},
pages={343-348},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002614803430348},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - WEB USAGE MINING WITH TIME CONSTRAINED ASSOCIATION RULES
SN - 972-8865-00-7
AU - Huysmans J.
AU - Mues C.
AU - Vanthienen J.
AU - Baesens B.
PY - 2004
SP - 343
EP - 348
DO - 10.5220/0002614803430348