Borges, Jose 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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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.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 |
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| Keyword(s) / Subject(s): | Web usage mining, Markov chains, analysis of algorithms |
| School or Research Centre: | Birkbeck Schools and Research Centres > School of Business, Economics & Informatics > Computer Science and Informatics |
| Depositing User: | Administrator |
| Date Deposited: | 23 Aug 2005 |
| Last Modified: | 17 Apr 2013 12:32 |
| URI: | http://eprints.bbk.ac.uk/id/eprint/213 |
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