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Mining Web usage using FRS

Web Usage Mining (WUM) is the application of data mining methods in extracting potentially useful information from web usage data. Its application includes improving website design, personalised service, target marketing etc. Among the outstanding research issues in WUM include inefficiency in minin...

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Main Authors:	Omar, Rosli, Abdullah, Zainatul Shima
Format:	Conference or Workshop Item
Language:	English English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:	T Technology (General) TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/72767/1/72767_Mining%20Web%20Usage%20Using%20FRS.pdf http://irep.iium.edu.my/72767/2/72767_Mining%20Web%20Usage%20Using%20FRS_SCOPUS.pdf http://irep.iium.edu.my/72767/3/72767_Mining%20Web%20Usage%20Using%20FRS_WOS.pdf http://irep.iium.edu.my/72767/ https://ieeexplore.ieee.org/document/8567138
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id	my.iium.irep.72767
record_format	dspace
spelling	my.iium.irep.727672019-06-21T02:16:39Z http://irep.iium.edu.my/72767/ Mining Web usage using FRS Omar, Rosli Abdullah, Zainatul Shima T Technology (General) TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Web Usage Mining (WUM) is the application of data mining methods in extracting potentially useful information from web usage data. Its application includes improving website design, personalised service, target marketing etc. Among the outstanding research issues in WUM include inefficiency in mining large weblogs, extracted patterns that are not representative of actual user behavior, and mining results which are too general, uninteresting and lack insights. This paper attempts to address the above problems using a method of mining that captures user traversing activities more effectively based on the notion of regularity. A mining algorithm is introduced using the approach of vertical database. The experiments suggest that the method is efficient, scalable, and able to address confusion caused by large number of extracted patterns. Institute of Electrical and Electronics Engineers Inc. 2018-12-06 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/72767/1/72767_Mining%20Web%20Usage%20Using%20FRS.pdf application/pdf en http://irep.iium.edu.my/72767/2/72767_Mining%20Web%20Usage%20Using%20FRS_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/72767/3/72767_Mining%20Web%20Usage%20Using%20FRS_WOS.pdf Omar, Rosli and Abdullah, Zainatul Shima (2018) Mining Web usage using FRS. In: 2018 International Conference on Information and Communication Technology for the Muslim World (ICT4M), 23rd-25th July 2018, Kuala Lumpur. https://ieeexplore.ieee.org/document/8567138 10.1109/ICT4M.2018.00062
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English English English
topic	T Technology (General) TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	T Technology (General) TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Omar, Rosli Abdullah, Zainatul Shima Mining Web usage using FRS
description	Web Usage Mining (WUM) is the application of data mining methods in extracting potentially useful information from web usage data. Its application includes improving website design, personalised service, target marketing etc. Among the outstanding research issues in WUM include inefficiency in mining large weblogs, extracted patterns that are not representative of actual user behavior, and mining results which are too general, uninteresting and lack insights. This paper attempts to address the above problems using a method of mining that captures user traversing activities more effectively based on the notion of regularity. A mining algorithm is introduced using the approach of vertical database. The experiments suggest that the method is efficient, scalable, and able to address confusion caused by large number of extracted patterns.
format	Conference or Workshop Item
author	Omar, Rosli Abdullah, Zainatul Shima
author_facet	Omar, Rosli Abdullah, Zainatul Shima
author_sort	Omar, Rosli
title	Mining Web usage using FRS
title_short	Mining Web usage using FRS
title_full	Mining Web usage using FRS
title_fullStr	Mining Web usage using FRS
title_full_unstemmed	Mining Web usage using FRS
title_sort	mining web usage using frs
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2018
url	http://irep.iium.edu.my/72767/1/72767_Mining%20Web%20Usage%20Using%20FRS.pdf http://irep.iium.edu.my/72767/2/72767_Mining%20Web%20Usage%20Using%20FRS_SCOPUS.pdf http://irep.iium.edu.my/72767/3/72767_Mining%20Web%20Usage%20Using%20FRS_WOS.pdf http://irep.iium.edu.my/72767/ https://ieeexplore.ieee.org/document/8567138
_version_	1643620208489791488
score	13.211869

Mining Web usage using FRS

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