Using Entropy in Web Usage Data Preprocessing

The paper is focused on an examination of the use of entropy in the field of web usage mining. Entropy creates an alternative possibility of determining the ratio of auxiliary pages in the session identification using the Reference Length method. The experiment was conducted on two different web por...

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Main Authors:	Michal Munk, Lubomir Benko
Format:	Article
Language:	English
Published:	MDPI AG 2018-01-01
Series:	Entropy
Subjects:	data preprocessing information entropy web usage mining session identification Reference Length
Online Access:	http://www.mdpi.com/1099-4300/20/1/67

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spelling	doaj-f1e54774079d4819a5302c339fceb2ca2020-11-25T00:15:30ZengMDPI AGEntropy1099-43002018-01-012016710.3390/e20010067e20010067Using Entropy in Web Usage Data PreprocessingMichal Munk0Lubomir Benko1Department of Informatics, Constantine the Philosopher University in Nitra, Tr. A. Hlinku 1, 949 74 Nitra, SlovakiaInstitute of System Engineering and Informatics, University of Pardubice, Studentska 95, 532 10 Pardubice, Czech RepublicThe paper is focused on an examination of the use of entropy in the field of web usage mining. Entropy creates an alternative possibility of determining the ratio of auxiliary pages in the session identification using the Reference Length method. The experiment was conducted on two different web portals. The first log file was obtained from a course of virtual learning environment web portal. The second log file was received from the web portal with anonymous access. A comparison of the results of entropy estimation of the ratio of auxiliary pages and a sitemap estimation of the ratio of auxiliary pages showed that in the case of sitemap abundance, entropy could be a full-valued substitution for the estimate of the ratio of auxiliary pages.http://www.mdpi.com/1099-4300/20/1/67data preprocessinginformation entropyweb usage miningsession identificationReference Length
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Michal Munk Lubomir Benko
spellingShingle	Michal Munk Lubomir Benko Using Entropy in Web Usage Data Preprocessing Entropy data preprocessing information entropy web usage mining session identification Reference Length
author_facet	Michal Munk Lubomir Benko
author_sort	Michal Munk
title	Using Entropy in Web Usage Data Preprocessing
title_short	Using Entropy in Web Usage Data Preprocessing
title_full	Using Entropy in Web Usage Data Preprocessing
title_fullStr	Using Entropy in Web Usage Data Preprocessing
title_full_unstemmed	Using Entropy in Web Usage Data Preprocessing
title_sort	using entropy in web usage data preprocessing
publisher	MDPI AG
series	Entropy
issn	1099-4300
publishDate	2018-01-01
description	The paper is focused on an examination of the use of entropy in the field of web usage mining. Entropy creates an alternative possibility of determining the ratio of auxiliary pages in the session identification using the Reference Length method. The experiment was conducted on two different web portals. The first log file was obtained from a course of virtual learning environment web portal. The second log file was received from the web portal with anonymous access. A comparison of the results of entropy estimation of the ratio of auxiliary pages and a sitemap estimation of the ratio of auxiliary pages showed that in the case of sitemap abundance, entropy could be a full-valued substitution for the estimate of the ratio of auxiliary pages.
topic	data preprocessing information entropy web usage mining session identification Reference Length
url	http://www.mdpi.com/1099-4300/20/1/67
work_keys_str_mv	AT michalmunk usingentropyinwebusagedatapreprocessing AT lubomirbenko usingentropyinwebusagedatapreprocessing
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Using Entropy in Web Usage Data Preprocessing

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