IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitdm/v03y2004i02ns0219622004001021.html
   My bibliography  Save this article

An Average Linear Time Algorithm For Web Usage Mining

Author

Listed:
  • JOSÉ BORGES

    (School of Engineering, University of Porto, R. Dr. Roberto Frias, 4200 — Porto, Portugal)

  • MARK LEVENE

    (School of Computer Science and Information Systems, Birkbeck, University of London, Malet Street, London, WC1E 7HX, UK)

Abstract

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.3The 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.

Suggested Citation

  • José Borges & Mark Levene, 2004. "An Average Linear Time Algorithm For Web Usage Mining," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 307-319.
  • Handle: RePEc:wsi:ijitdm:v:03:y:2004:i:02:n:s0219622004001021
    DOI: 10.1142/S0219622004001021
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219622004001021
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219622004001021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijitdm:v:03:y:2004:i:02:n:s0219622004001021. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitdm/ijitdm.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.