Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Web Mining: Information and Pattern Discovery on the World Wide Web
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis
INFORMS Journal on Computing
FS-Miner: efficient and incremental mining of frequent sequence patterns in web logs
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A New Approach for Reactive Web Usage Data Processing
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
A Parallel Apriori Algorithm for Frequent Itemsets Mining
SERA '06 Proceedings of the Fourth International Conference on Software Engineering Research, Management and Applications
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Session reconstruction is a crucial step in web usage mining. This paper proposes a kind of session reconstruction DFA called SRDFA, which can do session reconstruction for these webpages with or without frame. Moreover, SRDFA can be used to do session reconstruction on those websites which open URLs in new windows. This paper also takes an example to show that sessions reconstructed by SRDFA are more close to users' actual browsing path.