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Applications of concurrent access patterns in web usage mining

  • Jing Lu
    ,
  • Malcolm Keech
    ,
  • Cuiqing Wang
  • Solent University
    ,
  • Shenyang Institute of Chemical Technology
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

This paper builds on the original data mining and modelling research which has proposed the discovery of novel structural relation patterns, applying the approach in web usage mining. The focus of attention here is on concurrent access patterns (CAP), where an overarching framework illuminates the methodology for web access patterns post-processing. Data pre-processing, pattern discovery and patterns analysis all proceed in association with access patterns mining, CAP mining and CAP modelling. Pruning and selection of access patterns takes place as necessary, allowing further CAP mining and modelling to be pursued in the search for the most interesting concurrent access patterns. It is shown that higher level CAPs can be modelled in a way which brings greater structure to bear on the process of knowledge discovery. Experiments with real-world datasets highlight the applicability of the approach in web navigation.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 01/08/2013

Publication status

Published - 01/08/2013

Publisher

Springer, Japan, India, Australia, Germany, United States, United Arab Emirates, Austria, Switzerland, Italy, China, United Kingdom, Netherlands, Brazil, France, Singapore

Publication series

  • Publication series name: Data warehousing and knowledge discovery
9783642401312

ISBN (Electronic)

9783642401312

External Publication IDs

  • handle.net: 10547/333821
  • Scopus: 84884474318

Host publication title

Data Warehousing and Knowledge Discovery (DaWaK 2013)

Host publication editors

  • Ladjel Bellatreche
  • Mukesh K. Mohania

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