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Discovering rules for nursery students using apriori algorithm

Over recent years, there has been a rise in the number of students completing nursery education in Bangladesh. However, in order to achieve a sustainable education goal, the dropout rate in education needs to be reduced. Therefore, this research worked on providing insights that would help to unders...

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Main Authors: Marufuzzaman M., Gomes D.J., Rupai A.A.A., Sidek L.M.
Other Authors: 57205234835
Format: Article
Published: Institute of Advanced Engineering and Science 2023
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spelling my.uniten.dspace-255792023-05-29T16:11:13Z Discovering rules for nursery students using apriori algorithm Marufuzzaman M. Gomes D.J. Rupai A.A.A. Sidek L.M. 57205234835 57216082774 57216349325 35070506500 Over recent years, there has been a rise in the number of students completing nursery education in Bangladesh. However, in order to achieve a sustainable education goal, the dropout rate in education needs to be reduced. Therefore, this research worked on providing insights that would help to understand the possible causes of dropout from education. Since primary education is the starting point for every student, this research has been conducted on this part of education. The research used data obtained from a European country, Slovenia to use the insights of a developed country. The study was conducted using association rule mining where several mining rules were generated using the Apriori algorithm. The rules obtained had the confidence of 0.95 and support of 0.04. The result showed three major rules of dropping out children in nursery education and eventually helps to ensure higher education for all children. � 2020, Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T08:11:13Z 2023-05-29T08:11:13Z 2020 Article 10.11591/eei.v9i1.1665 2-s2.0-85083179754 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083179754&doi=10.11591%2feei.v9i1.1665&partnerID=40&md5=73ca89fe30af0b457da0b56f8d241904 https://irepository.uniten.edu.my/handle/123456789/25579 9 1 298 303 All Open Access, Bronze, Green Institute of Advanced Engineering and Science Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Over recent years, there has been a rise in the number of students completing nursery education in Bangladesh. However, in order to achieve a sustainable education goal, the dropout rate in education needs to be reduced. Therefore, this research worked on providing insights that would help to understand the possible causes of dropout from education. Since primary education is the starting point for every student, this research has been conducted on this part of education. The research used data obtained from a European country, Slovenia to use the insights of a developed country. The study was conducted using association rule mining where several mining rules were generated using the Apriori algorithm. The rules obtained had the confidence of 0.95 and support of 0.04. The result showed three major rules of dropping out children in nursery education and eventually helps to ensure higher education for all children. � 2020, Institute of Advanced Engineering and Science. All rights reserved.
author2 57205234835
author_facet 57205234835
Marufuzzaman M.
Gomes D.J.
Rupai A.A.A.
Sidek L.M.
format Article
author Marufuzzaman M.
Gomes D.J.
Rupai A.A.A.
Sidek L.M.
spellingShingle Marufuzzaman M.
Gomes D.J.
Rupai A.A.A.
Sidek L.M.
Discovering rules for nursery students using apriori algorithm
author_sort Marufuzzaman M.
title Discovering rules for nursery students using apriori algorithm
title_short Discovering rules for nursery students using apriori algorithm
title_full Discovering rules for nursery students using apriori algorithm
title_fullStr Discovering rules for nursery students using apriori algorithm
title_full_unstemmed Discovering rules for nursery students using apriori algorithm
title_sort discovering rules for nursery students using apriori algorithm
publisher Institute of Advanced Engineering and Science
publishDate 2023
_version_ 1806426712739676160
score 13.211869

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