Clustering of Web Access Sessions
نویسنده
چکیده
Various commercial and scientific applications require analysis of user behaviour in the Internet. New web user sessions classification method is the main goal of proposed research. In this paper web usage analysis is described. Previously Levenshtein metric was applied to web sessions domain in hierarchical clustering. Test results show that the proposed clustering method has good accuracy in this application domain. Further research steps are described in detail.
منابع مشابه
Clustering of Web Users Based on Access Patterns
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