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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1373

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contributor.authorKorra, S B-
contributor.authorPanigrahy, S K-
contributor.authorJena, S K-
date.accessioned2011-02-02T10:12:24Z-
date.available2011-02-02T10:12:24Z-
date.issued2011-01-
identifier.citationInternational Conference on Advances in Computing, Communication and Control, 2011 (ICAC3'11), P 131-136en
identifier.isbn978-3-642-18439-0-
identifier.urihttp://dx.doi.org/10.1007/978-3-642-18440-6_16-
identifier.urihttp://hdl.handle.net/2080/1373-
descriptionCopyright belongs to Proceedings Publisher- Springer Verlagen
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
format.extent79476 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherSpringeren
relation.ispartofseriesCCIS;Vol 125-
subjectData miningen
subjectWeb dataen
subjectWeb usage miningen
subjectDSpaceen
titleWeb Usage Mining: An Implementation Viewen
typeArticleen
typeBook chapteren
Appears in Collections:Conference Papers

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