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BHUPENDRA S CHORDIA; KRISHNAKANT P ADHIYA (2011)
Publisher: Engg Journals Publications
Journal: Indian Journal of Computer Science and Engineering
Languages: English
Types: Article
Subjects: Web session, sequence alignment, Data Preprocessing, Clustering, Electronic computers. Computer science, QA75.5-76.95, Instruments and machines, QA71-90, Mathematics, QA1-939, Science, Q, DOAJ:Computer Science, DOAJ:Technology and Engineering
In web usage mining grouping of web access sequences can be used to determine the behavior or intent of a set of users. Grouping websessions is how to measure the similarity between web sessions. There are many shortcomings in traditional measurement methods. The taskof grouping web sessions based on similarity and consists of maximizing the intra-group similarity while minimizing the inter-groupsimilarity is done using sequence alignment method. This paper introduces a new method to group web sessions, which considers the global and local alignment techniques of similarity measurement. Where sessions are chronologically ordered sequences of page accessed. Length of sessions also plays its role in measuring similarity.
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