Knowledge discovery for large databases in education institutes

This project presents the patterns and relations between attributes of Iran Higher Education (Iran Higher Education) data gained from the use of data mining techniques to discover knowledge and use them in decision making system of IHE. Large dataset of IHE is difficult to analysis and display, sinc...

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Main Author:	Saadatdoost, Robab
Format:	Thesis
Language:	English
Published:	2011
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/26824/1/RobabSaadatdoostMFSKSM2011.pdf
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id	my-utm-ep.26824
record_format	uketd_dc
spelling	my-utm-ep.268242018-05-27T06:36:20Z Knowledge discovery for large databases in education institutes 2011 Saadatdoost, Robab QA75 Electronic computers. Computer science This project presents the patterns and relations between attributes of Iran Higher Education (Iran Higher Education) data gained from the use of data mining techniques to discover knowledge and use them in decision making system of IHE. Large dataset of IHE is difficult to analysis and display, since they are significant for decision making in IHE. This study utilized the famous data mining software, Weka and SOM to mine and visualize IHE data. In order to discover worthwhile patterns we used clustering techniques and visualized the results. The selected dataset includes data of five medical university of Tehran as a small data set and Ministry of Science - Research and Technology’s universities as a larger data set. Knowledge discovery and visualization are necessary for analyzing of these datasets. Our analysis reveals some knowledge in higher education aspect related to program of study, degree in each program, learning style, study mode and other IHE attributes. This study helps to IHE to discover knowledge in a visualize way; our results can be focused more by experts in higher education field to assess and evaluate more. 2011 Thesis http://eprints.utm.my/id/eprint/26824/ http://eprints.utm.my/id/eprint/26824/1/RobabSaadatdoostMFSKSM2011.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:83277?queryType=vitalDismax&query=+Knowledge+discovery+for+large+databases+in+education+institutes+&public=true 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 Saadatdoost, Robab Knowledge discovery for large databases in education institutes
description	This project presents the patterns and relations between attributes of Iran Higher Education (Iran Higher Education) data gained from the use of data mining techniques to discover knowledge and use them in decision making system of IHE. Large dataset of IHE is difficult to analysis and display, since they are significant for decision making in IHE. This study utilized the famous data mining software, Weka and SOM to mine and visualize IHE data. In order to discover worthwhile patterns we used clustering techniques and visualized the results. The selected dataset includes data of five medical university of Tehran as a small data set and Ministry of Science - Research and Technology’s universities as a larger data set. Knowledge discovery and visualization are necessary for analyzing of these datasets. Our analysis reveals some knowledge in higher education aspect related to program of study, degree in each program, learning style, study mode and other IHE attributes. This study helps to IHE to discover knowledge in a visualize way; our results can be focused more by experts in higher education field to assess and evaluate more.
format	Thesis
qualification_level	Master's degree
author	Saadatdoost, Robab
author_facet	Saadatdoost, Robab
author_sort	Saadatdoost, Robab
title	Knowledge discovery for large databases in education institutes
title_short	Knowledge discovery for large databases in education institutes
title_full	Knowledge discovery for large databases in education institutes
title_fullStr	Knowledge discovery for large databases in education institutes
title_full_unstemmed	Knowledge discovery for large databases in education institutes
title_sort	knowledge discovery for large databases in education institutes
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/26824/1/RobabSaadatdoostMFSKSM2011.pdf
_version_	1747815519827787776

Knowledge discovery for large databases in education institutes

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