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dc.creatorCunha, José Antônio
dc.creatorMoura, Elionai
dc.creatorAnalide, César
dc.date.accessioned2017-05-30T15:07:33Z
dc.date.available2016-04-01
dc.date.available2017-05-30T15:07:33Z
dc.date.issued2016-03-03
dc.identifier.isbn978-3-319-31307-8pt_BR
dc.identifier.urihttp://memoria.ifrn.edu.br/handle/1044/1163
dc.description.abstractThis work focuses on data mining in relational databases, aiming to detect behaviors related to school dropouts and disapproval by mapping the factors that influence this dropout. This work is relevant by the fact that the dropout and school disapproval are big factors of concern to all who care about education in Brasil. At the end of it, we intend to point out the need to implement solutions that enable access to results dynamically, thus allowing educators can early diagnose the causes of school dropout and disapproval, and allow for relevant pedagogical actions. This way, we intend to reduce the school dropout and school disapproval, towards a more efficient teaching and learning process at Brazilian federal education institution named Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte - IFRNpt_BR
dc.languageengpt_BR
dc.publisherInstituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Nortept_BR
dc.rightsAcesso Abertopt_BR
dc.subjectSchool dropoutpt_BR
dc.subjectMachine learningpt_BR
dc.subjectSchool disaprovalpt_BR
dc.subjectEducational Data Miningpt_BR
dc.titleData mining in academic databases to detect behaviors of students related to school dropout and disapprovalpt_BR
dc.typeCapítulo de Livropt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentCeará-Mirimpt_BR
dc.publisher.initialsIFRNpt_BR
dc.subject.cnpqCNPQ::CIENCIAS EXATAS E DA TERRApt_BR
dc.citation.spage189pt_BR
dc.citation.epage198pt_BR
dc.description.resumoThis work focuses on data mining in relational databases, aiming to detect behaviors related to school dropouts and disapproval by mapping the factors that influence this dropout. This work is relevant by the fact that the dropout and school disapproval are big factors of concern to all who care about education in Brasil. At the end of it, we intend to point out the need to implement solutions that enable access to results dynamically, thus allowing educators can early diagnose the causes of school dropout and disapproval, and allow for relevant pedagogical actions. This way, we intend to reduce the school dropout and school disapproval, towards a more efficient teaching and learning process at Brazilian federal education institution named Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte - IFRNpt_BR


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