A Case Study of Applying the Classification Task for Students Performance Prediction

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorInstituto Federal de Mato Grosso Do sul-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorGuerra, M. S.-
Autor(es): dc.creatorNeto, H. Asseiss-
Autor(es): dc.creatorOliveira, S. A. [UNESP]-
Data de aceite: dc.date.accessioned2022-08-04T22:06:59Z-
Data de disponibilização: dc.date.available2022-08-04T22:06:59Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2018-01-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/TLA.2018.8291470-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/221018-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/221018-
Descrição: dc.descriptionIn this study the application of data mining in an academic database is presented, aiming the identification of the reasons of student dropouts by preventing failures in Programming Language class from Internet Systems course of Federal Institute of Mato Grosso do Sul (IFMS). The classification task is used, as well as decision tree technique and J4.8 algorithm, wich is run with three different options and, in each option pruned and unpruned decision trees are generated. The results show that the most realistic test is Cross-validation, with a success rate of 75.8% in classification, and that it is possible to prevent student failure in specific cases and as a consequence, to lower the number of student dropouts by failure.-
Descrição: dc.descriptionInstituto Federal de Mato Grosso Do sul-
Descrição: dc.descriptionUniversidade Estadual Paulista Júlio de Mesquita Filho-
Descrição: dc.descriptionUniversidade Estadual Paulista Júlio de Mesquita Filho-
Formato: dc.format172-177-
Idioma: dc.languagept_BR-
Relação: dc.relationIEEE Latin America Transactions-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectacademic database-
Palavras-chave: dc.subjectclassification task-
Palavras-chave: dc.subjectData mining-
Título: dc.titleA Case Study of Applying the Classification Task for Students Performance Prediction-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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