Dropout through Extended Association Rule Netwoks: A Complementary View

Detalhes bibliográficos
Autor(a) principal: Dall'Agnol, Maicon [UNESP]
Data de Publicação: 2020
Outros Autores: Souza, Leandro Rondado de [UNESP], Padua, Renan de, Carvalho, Veronica Oliveira de [UNESP], Rezende, Solange Oliveira, Lane, H. C., Zvacek, S., Uhomoibhi, J.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5220/0009354300890096
http://hdl.handle.net/11449/237899
Resumo: Dropout is a critical problem that has been studied by data mining methods. The most widely used algorithm in this context is C4.5. However, the understanding of the reasons why a student dropout is a result of its representation. As C4.5 is a greedy algorithm, it is difficult to visualize, for example, items that are dominants and determinants with respect to a specific class. An alternative is to use association rules (ARs), since they exploit the search space more broadly. However, in the dropout context, few works use them. (Padua et al., 2018) proposed an approach, named ExARN, that structures, prunes and analyzes a set of ARs to build candidate hypotheses. Considering the above, the goal of this work is to treat the dropout problem through ExARN as it provides a complementary view to what is commonly used in the literature, i.e., classification through C4.5. As contributions we have: (a) complementary views are important and, therefore, should be used more often when the focus is to understand the domain, not only classify; (b) the use of ARs through ExARN may reveal interesting correlations that may help to understand the problem of dropping out.
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spelling Dropout through Extended Association Rule Netwoks: A Complementary ViewDropoutAssociation RulesNetworkC4.5Dropout is a critical problem that has been studied by data mining methods. The most widely used algorithm in this context is C4.5. However, the understanding of the reasons why a student dropout is a result of its representation. As C4.5 is a greedy algorithm, it is difficult to visualize, for example, items that are dominants and determinants with respect to a specific class. An alternative is to use association rules (ARs), since they exploit the search space more broadly. However, in the dropout context, few works use them. (Padua et al., 2018) proposed an approach, named ExARN, that structures, prunes and analyzes a set of ARs to build candidate hypotheses. Considering the above, the goal of this work is to treat the dropout problem through ExARN as it provides a complementary view to what is commonly used in the literature, i.e., classification through C4.5. As contributions we have: (a) complementary views are important and, therefore, should be used more often when the focus is to understand the domain, not only classify; (b) the use of ARs through ExARN may reveal interesting correlations that may help to understand the problem of dropping out.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Univ Estadual Paulista Unesp, Inst Geociencias & Ciencias Exatas, Rio Claro, BrazilUniv Sao Paulo, Inst Ciencias Matemat & Comp, Sao Carlos, BrazilUniv Estadual Paulista Unesp, Inst Geociencias & Ciencias Exatas, Rio Claro, BrazilFAPESP: 2019/049232ScitepressUniversidade Estadual Paulista (UNESP)Universidade de São Paulo (USP)Dall'Agnol, Maicon [UNESP]Souza, Leandro Rondado de [UNESP]Padua, Renan deCarvalho, Veronica Oliveira de [UNESP]Rezende, Solange OliveiraLane, H. C.Zvacek, S.Uhomoibhi, J.2022-11-30T13:48:01Z2022-11-30T13:48:01Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject89-96http://dx.doi.org/10.5220/0009354300890096Proceedings Of The 12th International Conference On Computer Supported Education (csedu), Vol 1. Setubal: Scitepress, p. 89-96, 2020.2184-5026http://hdl.handle.net/11449/23789910.5220/0009354300890096WOS:000777617400008Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings Of The 12th International Conference On Computer Supported Education (csedu), Vol 1info:eu-repo/semantics/openAccess2022-11-30T13:48:02Zoai:repositorio.unesp.br:11449/237899Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:21:13.768617Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Dropout through Extended Association Rule Netwoks: A Complementary View
title Dropout through Extended Association Rule Netwoks: A Complementary View
spellingShingle Dropout through Extended Association Rule Netwoks: A Complementary View
Dall'Agnol, Maicon [UNESP]
Dropout
Association Rules
Network
C4.5
title_short Dropout through Extended Association Rule Netwoks: A Complementary View
title_full Dropout through Extended Association Rule Netwoks: A Complementary View
title_fullStr Dropout through Extended Association Rule Netwoks: A Complementary View
title_full_unstemmed Dropout through Extended Association Rule Netwoks: A Complementary View
title_sort Dropout through Extended Association Rule Netwoks: A Complementary View
author Dall'Agnol, Maicon [UNESP]
author_facet Dall'Agnol, Maicon [UNESP]
Souza, Leandro Rondado de [UNESP]
Padua, Renan de
Carvalho, Veronica Oliveira de [UNESP]
Rezende, Solange Oliveira
Lane, H. C.
Zvacek, S.
Uhomoibhi, J.
author_role author
author2 Souza, Leandro Rondado de [UNESP]
Padua, Renan de
Carvalho, Veronica Oliveira de [UNESP]
Rezende, Solange Oliveira
Lane, H. C.
Zvacek, S.
Uhomoibhi, J.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade de São Paulo (USP)
dc.contributor.author.fl_str_mv Dall'Agnol, Maicon [UNESP]
Souza, Leandro Rondado de [UNESP]
Padua, Renan de
Carvalho, Veronica Oliveira de [UNESP]
Rezende, Solange Oliveira
Lane, H. C.
Zvacek, S.
Uhomoibhi, J.
dc.subject.por.fl_str_mv Dropout
Association Rules
Network
C4.5
topic Dropout
Association Rules
Network
C4.5
description Dropout is a critical problem that has been studied by data mining methods. The most widely used algorithm in this context is C4.5. However, the understanding of the reasons why a student dropout is a result of its representation. As C4.5 is a greedy algorithm, it is difficult to visualize, for example, items that are dominants and determinants with respect to a specific class. An alternative is to use association rules (ARs), since they exploit the search space more broadly. However, in the dropout context, few works use them. (Padua et al., 2018) proposed an approach, named ExARN, that structures, prunes and analyzes a set of ARs to build candidate hypotheses. Considering the above, the goal of this work is to treat the dropout problem through ExARN as it provides a complementary view to what is commonly used in the literature, i.e., classification through C4.5. As contributions we have: (a) complementary views are important and, therefore, should be used more often when the focus is to understand the domain, not only classify; (b) the use of ARs through ExARN may reveal interesting correlations that may help to understand the problem of dropping out.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
2022-11-30T13:48:01Z
2022-11-30T13:48:01Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.5220/0009354300890096
Proceedings Of The 12th International Conference On Computer Supported Education (csedu), Vol 1. Setubal: Scitepress, p. 89-96, 2020.
2184-5026
http://hdl.handle.net/11449/237899
10.5220/0009354300890096
WOS:000777617400008
url http://dx.doi.org/10.5220/0009354300890096
http://hdl.handle.net/11449/237899
identifier_str_mv Proceedings Of The 12th International Conference On Computer Supported Education (csedu), Vol 1. Setubal: Scitepress, p. 89-96, 2020.
2184-5026
10.5220/0009354300890096
WOS:000777617400008
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings Of The 12th International Conference On Computer Supported Education (csedu), Vol 1
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 89-96
dc.publisher.none.fl_str_mv Scitepress
publisher.none.fl_str_mv Scitepress
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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