Clickstream can be a rich source of data for analysing user behaviour, but the volume of these logs makes it difficult to
identify and categorise behavioural patterns. In this paper, we introduce the Automatic Pattern Discovery (APD) method, a
technique for automated processing of Clickstream data to identify a user’s browsing patterns. The paper also includes case
study that is used to illustrate the use of the APD and to evaluate its performance.
Keywords Web Usage Mining - Clickstream Data - Browsing Behaviour - Traversal Pattern