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.
|Number of pages||8|
|Publication status||Published - 2007|
|Event||Knowledge-Based Intelligent Information and Engineering Systems11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks - Vietri sul Mare, Italy|
Duration: 12 Sep 2007 → 14 Sep 2007
|Conference||Knowledge-Based Intelligent Information and Engineering Systems11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks|
|City||Vietri sul Mare|
|Period||12/09/07 → 14/09/07|