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

Title: Web Usage Mining: An Implementation View
Authors: Korra, S B
Panigrahy, S K
Jena, S K
Keywords: Data mining
Web data
Web usage mining
DSpace
Issue Date: Jan-2011
Publisher: Springer
Citation: International Conference on Advances in Computing, Communication and Control, 2011 (ICAC3'11), P 131-136
Series/Report no.: CCIS;Vol 125
Abstract: This 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.
Description: Copyright belongs to Proceedings Publisher- Springer Verlag
URI: http://dx.doi.org/10.1007/978-3-642-18440-6_16
http://hdl.handle.net/2080/1373
ISBN: 978-3-642-18439-0
Appears in Collections:Conference Papers

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