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Benefits of InterSite Pre-Processing and Clustering Methods in E-Commerce Domain

Abstract : This paper presents our preprocessing and clustering analysis on the clickstream dataset proposed for the ECMLPKDD 2005 Discovery Challenge. The main contributions of this article are double. First, after presenting the clickstream dataset, we show how we build a rich data warehouse based an advanced preprocesing. We take into account the intersite aspects in the given ecommerce domain, which offers an interesting data structuration. A preliminary statistical analysis based on time period clickstreams is given, emphasing the importance of intersite user visits in such a context. Secondly, we describe our crossed-clustering method which is applied on data generated from our data warehouse. Our preliminary results are interesting and promising illustrating the benefits of our WUM methods, even if more investigations are needed on the same dataset.
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Contributor : Sergiu Chelcea Connect in order to contact the contributor
Submitted on : Wednesday, November 30, 2005 - 3:12:41 PM
Last modification on : Friday, February 4, 2022 - 3:12:52 AM
Long-term archiving on: : Friday, April 2, 2010 - 10:38:48 PM




Sergiu Chelcea, Alzennyr da Silva, Yves Lechevallier, Doru Tanasa, Brigitte Trousse. Benefits of InterSite Pre-Processing and Clustering Methods in E-Commerce Domain. Proceedings of the ECML/PKDD2005 Discovery Challenge, A Collaborative Effort in Knowledge Discovery from Databases, Oct 2005, Porto, Portugal, pp.15-21. ⟨inria-00000880⟩



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