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APD-A Tool for Identifying Behavioural Patterns Automatically from Clickstream Data (2008)

Abstract
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.

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.98.6186
Source http://www.egod.idv.tw/website/documents/papers/KES2007.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords Web Usage Mining, Clickstream Data, Browsing Behaviour, Traversal Pattern
Type text
Language English
Relation 10.1.1.11.3835, 10.1.1.103.8744, 10.1.1.59.8558, 10.1.1.59.7143