In this article, a new algorithm called Multidimensional Sequence Alignment Method (MDSAM) is illustrated for mining navigation patterns on a web site. MDSAM examines sequences composed of several information types, such as visited pages and visiting time spent on pages. Besides, MDSAM handles large databases and uses heuristics to compute a multidimensional cost based on one-dimensional optimal trajectories. Empirical results show that MDSAM identifies profiles showing visited pages, visiting time spent on pages and the order in which pages are visited on a web site. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Hay, B., Wets, G., & Vanhoof, K. (2003). Web usage mining by means of multidimensional sequence alignment methods. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2703, pp. 50–65). Springer Verlag. https://doi.org/10.1007/978-3-540-39663-5_4
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