APD-A tool for identifying behavioural patterns automatically from clickstream data

I. Ting, Lillian Clark, C. Kimble, D. Kudenko, Peter Wright

    Research output: Contribution to conferencePaperpeer-review

    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.
    Original languageEnglish
    Pages66-73
    Number of pages8
    Publication statusPublished - 2007
    EventKnowledge-Based Intelligent Information and Engineering Systems11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks - Vietri sul Mare, Italy
    Duration: 12 Sep 200714 Sep 2007

    Conference

    ConferenceKnowledge-Based Intelligent Information and Engineering Systems11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks
    Country/TerritoryItaly
    CityVietri sul Mare
    Period12/09/0714/09/07

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