DSpace@nitr: Item 2080/1373

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

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DC Field	Value	Language
contributor.author	Korra, S B	-
contributor.author	Panigrahy, S K	-
contributor.author	Jena, S K	-
date.accessioned	2011-02-02T10:12:24Z	-
date.available	2011-02-02T10:12:24Z	-
date.issued	2011-01	-
identifier.citation	International Conference on Advances in Computing, Communication and Control, 2011 (ICAC3'11), P 131-136	en
identifier.isbn	978-3-642-18439-0	-
identifier.uri	http://dx.doi.org/10.1007/978-3-642-18440-6_16	-
identifier.uri	http://hdl.handle.net/2080/1373	-
description	Copyright belongs to Proceedings Publisher- Springer Verlag	en
description.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.	en
format.extent	79476 bytes	-
format.mimetype	application/pdf	-
language.iso	en	-
publisher	Springer	en
relation.ispartofseries	CCIS;Vol 125	-
subject	Data mining	en
subject	Web data	en
subject	Web usage mining	en
subject	DSpace	en
title	Web Usage Mining: An Implementation View	en
type	Article	en
type	Book chapter	en
Appears in Collections:	Conference Papers

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