A semantic session analysis method partitioning Web usage logs is presented. Semantic W eb usage log preparation model enhances usage logs with semantic. The M arkov chainmode1 based on ontology semantic measurement is used to identi. ing which active session a request should belong to. The corn-petitive method is applied to determine the end of the sessions. Compared with other algorithms, more successfu1 sessions are additionally detected by semantic outlier analysis.

Semantic_Session_Analysis_for_Web_Usage_Mining.pdf

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