Visualizing clickstream data with multidimensional scaling

Abstract

We visualize a a web server log by means of multidimensionalscaling. To that end, a so-called dissimilarity metric is introduced inthe sets of sessions and pages respectively. We interpret the resultingvisualizations and find some interesting patterns.