Web Usage Mining for UUM Learning Care Using Association Rules

The enormous of information on the World Wide Web makes it obvious candidate for data mining research. Application of data mining techniques to the World Wide Web referred as Web mining where this term has been used in three distint ways; Web Content Mining, Web Structure Mining and Web Usage Minin...

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Main Author:	Azizul Azhar, Ramli
Format:	Thesis
Language:	eng eng
Published:	2004
Subjects:	QA76 Computer software
Online Access:	https://etd.uum.edu.my/1121/1/AZIZUL_AZHAR_RAMLI.pdf https://etd.uum.edu.my/1121/2/1.AZIZUL_AZHAR_RAMLI.pdf
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id	my-uum-etd.1121
record_format	uketd_dc
spelling	my-uum-etd.11212013-07-24T12:10:30Z Web Usage Mining for UUM Learning Care Using Association Rules 2004 Azizul Azhar, Ramli Sekolah Siswazah Graduate School QA76 Computer software The enormous of information on the World Wide Web makes it obvious candidate for data mining research. Application of data mining techniques to the World Wide Web referred as Web mining where this term has been used in three distint ways; Web Content Mining, Web Structure Mining and Web Usage Mining. E-Learning is one of the Web based application where it will facing with large amount of data. In order to produce the university E-Learning (UUM Educare) portal usage patterns and user behaviors, this paper implements the high level process of Web usage mining using basic Association Rules algorithm - Apriori Algorithm. Web usage mining consists of three main phases, namely Data Preprocessing. Pattern Discovering and Patern Analysis. Main resources, server log files become a set of raw data where it's must go through with all the Web usage mining technique, Web usage mining approach has been combined with the basic Association Rules, Apriori Algorithm to optimize the content of the university E-Learning portal. Finally this paper will present an overview of results with the analysis and Web administrator can use the findings for the suitable valuable actions. 2004 Thesis https://etd.uum.edu.my/1121/ https://etd.uum.edu.my/1121/1/AZIZUL_AZHAR_RAMLI.pdf application/pdf eng validuser https://etd.uum.edu.my/1121/2/1.AZIZUL_AZHAR_RAMLI.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	QA76 Computer software
spellingShingle	QA76 Computer software Azizul Azhar, Ramli Web Usage Mining for UUM Learning Care Using Association Rules
description	The enormous of information on the World Wide Web makes it obvious candidate for data mining research. Application of data mining techniques to the World Wide Web referred as Web mining where this term has been used in three distint ways; Web Content Mining, Web Structure Mining and Web Usage Mining. E-Learning is one of the Web based application where it will facing with large amount of data. In order to produce the university E-Learning (UUM Educare) portal usage patterns and user behaviors, this paper implements the high level process of Web usage mining using basic Association Rules algorithm - Apriori Algorithm. Web usage mining consists of three main phases, namely Data Preprocessing. Pattern Discovering and Patern Analysis. Main resources, server log files become a set of raw data where it's must go through with all the Web usage mining technique, Web usage mining approach has been combined with the basic Association Rules, Apriori Algorithm to optimize the content of the university E-Learning portal. Finally this paper will present an overview of results with the analysis and Web administrator can use the findings for the suitable valuable actions.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Azizul Azhar, Ramli
author_facet	Azizul Azhar, Ramli
author_sort	Azizul Azhar, Ramli
title	Web Usage Mining for UUM Learning Care Using Association Rules
title_short	Web Usage Mining for UUM Learning Care Using Association Rules
title_full	Web Usage Mining for UUM Learning Care Using Association Rules
title_fullStr	Web Usage Mining for UUM Learning Care Using Association Rules
title_full_unstemmed	Web Usage Mining for UUM Learning Care Using Association Rules
title_sort	web usage mining for uum learning care using association rules
granting_institution	Universiti Utara Malaysia
granting_department	Sekolah Siswazah
publishDate	2004
url	https://etd.uum.edu.my/1121/1/AZIZUL_AZHAR_RAMLI.pdf https://etd.uum.edu.my/1121/2/1.AZIZUL_AZHAR_RAMLI.pdf
_version_	1747827075843096576

Web Usage Mining for UUM Learning Care Using Association Rules

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