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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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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
http://eprints.utm.my/id/eprint/36882/
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spelling my.utm.368822018-05-27T08:15:32Z http://eprints.utm.my/id/eprint/36882/ Pattern discovery in UTM library circulation database 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/36882/5/HoseinJafarkarimiMFSKSM2011.pdf Jafarkarimi, Hosein (2011) Pattern discovery in UTM library circulation database. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2011
url http://eprints.utm.my/id/eprint/36882/5/HoseinJafarkarimiMFSKSM2011.pdf
http://eprints.utm.my/id/eprint/36882/
_version_ 1643650035603210240
score 13.211869

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