Identifying navigation strategies and patterns automatically from Clickstream data

I. Ting, Lillian Clark, C. Kimble

Research output: Contribution to journalArticlepeer-review


A user's clickstream, such as that which is found in server-side logs, can be a rich source of data concerning the ways in which a user navigates a site, but the volume and level of detail found in these logs makes it difficult to identify and categorise specific navigational patterns. In this paper, we describe the three-step automatic pattern discovery (APD) method, a tool that utilises sequential mining to extract a user's navigation route based on two levels of basic navigational elements. This paper contains descriptions of two studies in which the APD was used; the first makes use of APD to analyse the usage of an educational website; the second describes how APD was used to improve the design of a technical support website in a university department.
Original languageEnglish
Pages (from-to)398-426
Number of pages29
JournalInternational Journal Web Engineering and Technology
Issue number4
Publication statusPublished - 2009


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