Abstract
In this paper, we present two new approaches for the analysis of web site users behaviors. The first one is a synthetic visualization of Log file data and the second one is a coding of sequence based data. This coding allows us to carry out a vector quantization, and thus to find meaningful prototypes of the data set. For this, first the set of sessions is partitioned and then a prototype is extracted from each of the resulting classes. This analytic process allows us to categorize the different web site users behaviors interested by a set of categories of pages in a commercial site. © Springer-Verlag Berlin Heidelberg 2002.
Cite
CITATION STYLE
Benabdeslem, K., Bennani, Y., & Janvier, E. (2002). Visualization and analysis of web navigation data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2415 LNCS, pp. 486–491). Springer Verlag. https://doi.org/10.1007/3-540-46084-5_79
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