Mining Least Association Rules of Degree Level Programs Selected by Students

One of the most popular and important studies in data mining is association rules mining. Generally, association rules can be divided into two categories called frequent and least. However, finding the least association rules is more complex and time consuming as compared to the frequent one. These...

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Main Authors: Zailani, Abdullah, Herawan, Tutut, Noraziah, Ahmad, Mustafa, Mat Deris
Format: Article
Language:English
Published: SERSC 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/3787/1/2013-maseri_Mining_Least.pdf
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author Zailani, Abdullah
Herawan, Tutut
Noraziah, Ahmad
Mustafa, Mat Deris
author_facet Zailani, Abdullah
Herawan, Tutut
Noraziah, Ahmad
Mustafa, Mat Deris
author_sort Zailani, Abdullah
collection UMP
description One of the most popular and important studies in data mining is association rules mining. Generally, association rules can be divided into two categories called frequent and least. However, finding the least association rules is more complex and time consuming as compared to the frequent one. These rules are very useful in certain application domain such as determining the exceptional association between university’s programs being selected by students. Therefore in this paper, we apply our novel measure called Definite Factors (DF) to determine the significant least association rules from undergraduate’s program selection database. The dataset of computer science student for July 2008/2009 intake from Universiti Malaysia Terengganu was employed in the experiment. The result shows that our measurement can mine these rules and it is at par with the existing benchmarked Relative Support Apriori (RSA) measurement.
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spelling UMPir37872017-08-15T04:39:26Z http://umpir.ump.edu.my/id/eprint/3787/ Mining Least Association Rules of Degree Level Programs Selected by Students Zailani, Abdullah Herawan, Tutut Noraziah, Ahmad Mustafa, Mat Deris QA76 Computer software One of the most popular and important studies in data mining is association rules mining. Generally, association rules can be divided into two categories called frequent and least. However, finding the least association rules is more complex and time consuming as compared to the frequent one. These rules are very useful in certain application domain such as determining the exceptional association between university’s programs being selected by students. Therefore in this paper, we apply our novel measure called Definite Factors (DF) to determine the significant least association rules from undergraduate’s program selection database. The dataset of computer science student for July 2008/2009 intake from Universiti Malaysia Terengganu was employed in the experiment. The result shows that our measurement can mine these rules and it is at par with the existing benchmarked Relative Support Apriori (RSA) measurement. SERSC 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3787/1/2013-maseri_Mining_Least.pdf Zailani, Abdullah and Herawan, Tutut and Noraziah, Ahmad and Mustafa, Mat Deris (2014) Mining Least Association Rules of Degree Level Programs Selected by Students. International Journal of Multimedia and Ubiquitous Engineering (IJMUE), 9 (1). pp. 241-254. ISSN 1975-0080. (Published) http://www.sersc.org/journals/IJMUE/vol9_no1_2014/23.pdf
spellingShingle QA76 Computer software
Zailani, Abdullah
Herawan, Tutut
Noraziah, Ahmad
Mustafa, Mat Deris
Mining Least Association Rules of Degree Level Programs Selected by Students
title Mining Least Association Rules of Degree Level Programs Selected by Students
title_full Mining Least Association Rules of Degree Level Programs Selected by Students
title_fullStr Mining Least Association Rules of Degree Level Programs Selected by Students
title_full_unstemmed Mining Least Association Rules of Degree Level Programs Selected by Students
title_short Mining Least Association Rules of Degree Level Programs Selected by Students
title_sort mining least association rules of degree level programs selected by students
topic QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/3787/1/2013-maseri_Mining_Least.pdf
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AT mustafamatderis miningleastassociationrulesofdegreelevelprogramsselectedbystudents