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    An average linear time algorithm for web data mining

    Borges, J. and Levene, Mark (2004) An average linear time algorithm for web data mining. International Journal of Information Technology and Decision Making 3 (2), pp. 307-320. ISSN 0219-6220.


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    In this paper, we study the complexity of a data mining algorithm for extracting patterns from user web navigation data that was proposed in previous work.3 The user web navigation sessions are inferred from log data and modeled as a Markov chain. The chain's higher probability trails correspond to the preferred trails on the web site. The algorithm implements a depth-first search that scans the Markov chain for the high probability trails. We show that the average behaviour of the algorithm is linear time in the number of web pages accessed.


    Item Type: Article
    Keyword(s) / Subject(s): Web usage mining, Markov chains, analysis of algorithms
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Administrator
    Date Deposited: 23 Aug 2005
    Last Modified: 15 Jun 2021 05:09


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