Affiliation
University of BedfordshireIssue Date
2013-08Subjects
web access patterns (WAP) post-processingconcurrent access patterns (CAP)
CAP mining and modelling
WAP pruning
knowledge discovery
web access patterns
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Data warehousing and knowledge discoveryAbstract
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.Citation
Lu, J., Keech, M., Wang, C., French, T. (2013) 'Applications of Concurrent Access Patterns in Web Usage Mining' 15th International Conference on Data Warehousing and Knowledge Discovery, 26th-29th August 2013, Prague, Czech Republic.Publisher
SpringerAdditional Links
http://link.springer.com/chapter/10.1007/978-3-642-40131-2_30Type
Conference papers, meetings and proceedingsLanguage
enISBN
9783642401312ae974a485f413a2113503eed53cd6c53
10.1007/978-3-642-40131-2_30