Pattern discovery in UTM library circulation database

Huge databases are being used in organizations to store data. These databases contain hidden patterns which can be discovered and used in the organizations. In this project, we applied data mining techniques to uncover the patterns in the circulation database of UTM library. In order to discover wor...

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Bibliographic Details
Main Author:	Jafarkarimi, Hosein
Format:	Thesis
Language:	English
Published:	2011
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/36882/5/HoseinJafarkarimiMFSKSM2011.pdf
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id	my-utm-ep.36882
record_format	uketd_dc
spelling	my-utm-ep.368822018-05-27T08:15:32Z Pattern discovery in UTM library circulation database 2011-06 Jafarkarimi, Hosein QA75 Electronic computers. Computer science Huge databases are being used in organizations to store data. These databases contain hidden patterns which can be discovered and used in the organizations. In this project, we applied data mining techniques to uncover the patterns in the circulation database of UTM library. In order to discover worthwhile patterns we followed knowledge discovery process (KDD) to transform row data to suitable format. Weka machine learning software was applied to do the data mining task. In this project, we studied two association rules mining algorithms, Apriori and FPGrowth. The later was used to discover some patterns among borrowed books. These patterns which are presented in a list can be used to make recommendations to patrons who are searching for a certain topic based on items that previously were borrowed together. In addition, a novel rule matrix was presented to store the found rules for future use. Both the list for recommendation and rule matrix are useful to construct a recommender system for users of UTM library. 2011-06 Thesis http://eprints.utm.my/id/eprint/36882/ http://eprints.utm.my/id/eprint/36882/5/HoseinJafarkarimiMFSKSM2011.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Jafarkarimi, Hosein Pattern discovery in UTM library circulation database
description	Huge databases are being used in organizations to store data. These databases contain hidden patterns which can be discovered and used in the organizations. In this project, we applied data mining techniques to uncover the patterns in the circulation database of UTM library. In order to discover worthwhile patterns we followed knowledge discovery process (KDD) to transform row data to suitable format. Weka machine learning software was applied to do the data mining task. In this project, we studied two association rules mining algorithms, Apriori and FPGrowth. The later was used to discover some patterns among borrowed books. These patterns which are presented in a list can be used to make recommendations to patrons who are searching for a certain topic based on items that previously were borrowed together. In addition, a novel rule matrix was presented to store the found rules for future use. Both the list for recommendation and rule matrix are useful to construct a recommender system for users of UTM library.
format	Thesis
qualification_level	Master's degree
author	Jafarkarimi, Hosein
author_facet	Jafarkarimi, Hosein
author_sort	Jafarkarimi, Hosein
title	Pattern discovery in UTM library circulation database
title_short	Pattern discovery in UTM library circulation database
title_full	Pattern discovery in UTM library circulation database
title_fullStr	Pattern discovery in UTM library circulation database
title_full_unstemmed	Pattern discovery in UTM library circulation database
title_sort	pattern discovery in utm library circulation database
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2011
url	http://eprints.utm.my/id/eprint/36882/5/HoseinJafarkarimiMFSKSM2011.pdf
_version_	1747816472661458944

Pattern discovery in UTM library circulation database

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