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dc.contributor.authorKorra, S B-
dc.contributor.authorPanigrahy, S K-
dc.contributor.authorJena, S K-
dc.identifier.citationInternational Conference on Advances in Computing, Communication and Control, 2011 (ICAC3'11), P 131-136en
dc.descriptionCopyright belongs to Proceedings Publisher- Springer Verlagen
dc.description.abstractThis paper describes the implementation of Web usage mining for DSpace server of NIT Rourkela. The DSpace log files have been preprocessed to convert the data stored in them into a structured format. Thereafter, the general procedures for bot-removal and session identification from a Web log file have been applied with certain modifications pertaining to the DSpace log files. Furthermore, analysis of these log files using a subjective interpretation of recently proposed algorithm EIN-WUM has also been conducted.en
dc.format.extent79476 bytes-
dc.relation.ispartofseriesCCIS;Vol 125-
dc.subjectData miningen
dc.subjectWeb dataen
dc.subjectWeb usage miningen
dc.titleWeb Usage Mining: An Implementation Viewen
dc.typeBook chapteren
Appears in Collections:Conference Papers

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