Applications of concurrent access patterns in web usage mining

Jing Lu, Malcolm Keech, Cuiqing Wang

Research output: Chapter in Book/Report/Published conference proceedingConference contributionpeer-review

27 Downloads (Pure)


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 pat-terns 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.
Original languageEnglish
Title of host publication15th International Conference on Data Warehousing and Knowledge Discovery, 26-30 August 2013, Prague
Number of pages10
Publication statusPublished - 1 Aug 2013
Externally publishedYes


Dive into the research topics of 'Applications of concurrent access patterns in web usage mining'. Together they form a unique fingerprint.

Cite this