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KES
2007
Springer

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

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APD-A Tool for Identifying Behavioural Patterns Automatically from Clickstream Data
Abstract. 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.
I-Hsien Ting, Lillian Clark, Chris Kimble, Daniel
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where KES
Authors I-Hsien Ting, Lillian Clark, Chris Kimble, Daniel Kudenko, Peter Wright
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