Web usage mining for UUM learning care using association rules

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

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Main Author:	Ramli, Azizul Azhar
Format:	Thesis
Language:	English
Published:	2004
Subjects:	QA Mathematics QA76 Computer software
Online Access:	http://eprints.uthm.edu.my/8152/1/24p%20AZIZUL%20AZHAR%20RAMLI.pdf
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id	my-uthm-ep.8152
record_format	uketd_dc
spelling	my-uthm-ep.81522023-01-17T03:38:20Z Web usage mining for UUM learning care using association rules 2004-06 Ramli, Azizul Azhar QA Mathematics QA76 Computer software The enormous content of information on the World Wide Web makes it obvious candidate for data mining research. Application of data milling techniques to the World Wide Web referred as Web mining where this term has been used in three distinct ways; Web Content Mining, Web Structure Mining and Web Usage Mining. E-Leaming 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 Pattern Analysis. Main resources, server log files become a set of raw data where it's must go through with all the Web usage mining phases to produce the final results — set of rides. With the powerful of data 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. 2004-06 Thesis http://eprints.uthm.edu.my/8152/ http://eprints.uthm.edu.my/8152/1/24p%20AZIZUL%20AZHAR%20RAMLI.pdf text en public mphil masters Universiti Utara Malaysia Fakulti Teknologi Maklumat
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English
topic	QA Mathematics QA76 Computer software
spellingShingle	QA Mathematics QA76 Computer software Ramli, Azizul Azhar Web usage mining for UUM learning care using association rules
description	The enormous content of information on the World Wide Web makes it obvious candidate for data mining research. Application of data milling techniques to the World Wide Web referred as Web mining where this term has been used in three distinct ways; Web Content Mining, Web Structure Mining and Web Usage Mining. E-Leaming 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 Pattern Analysis. Main resources, server log files become a set of raw data where it's must go through with all the Web usage mining phases to produce the final results — set of rides. With the powerful of data 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	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Ramli, Azizul Azhar
author_facet	Ramli, Azizul Azhar
author_sort	Ramli, Azizul Azhar
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	Fakulti Teknologi Maklumat
publishDate	2004
url	http://eprints.uthm.edu.my/8152/1/24p%20AZIZUL%20AZHAR%20RAMLI.pdf
_version_	1776103287820386304

Web usage mining for UUM learning care using association rules

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