APD-A Tool for Identifying Behavioural Patterns Automatically from Clickstream Data

I-Hsien Ting, Lillian Clark, Chris Kimble, Daniel Kudenko, Peter Wright

Research output: Contribution to conferencePaperpeer-review


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.
Original languageUndefined/Unknown
Publication statusPublished - 2007

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