Data pre-processing and data generation in the student flow case study

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorCavique, Luís-
Autor(es): dc.creatorPombinho, Paulo-
Autor(es): dc.creatorTallón Ballesteros, Antonio J.-
Autor(es): dc.creatorCorreia, Luís-
Data de aceite: dc.date.accessioned2022-02-15T14:07:02Z-
Data de disponibilização: dc.date.available2022-02-15T14:07:02Z-
Data de envio: dc.date.issued2020-11-17-
Data de envio: dc.date.issued2020-11-17-
Data de envio: dc.date.issued2019-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/10400.2/10184-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/10400.2/10184-
Descrição: dc.descriptionEducation covers a range of sectors from kindergarten to higher education. In the education system, each grade has three possible outcomes: dropout, retention and pass to the next grade. In this work, we study the data from the Department of Statistics of Education and Science (DGEEC) of the Education Ministry. DGEEC maintains those outcomes for each school year, therefore, this study seeks a longitudinal view based on student flow. The document reports the data pre-processing, a stochastic model based on the pre-processed data and a data generation process that uses the previous model.-
Descrição: dc.descriptionThe authors would like to thank the FCT Projects of Scientific Research and Technological Development in Data Science and Artificial Intelligence in Public Administration, 2018-2022 (DSAIPA/DS/0039/2018), for its support. LCav, PP and LCor also acknowledge support by UID/MULTI/04046/2103 center grant from FCT, Portugal (to BioISI).-
Descrição: dc.descriptioninfo:eu-repo/semantics/publishedVersion-
Idioma: dc.languageen-
Publicador: dc.publisherLecture Notes in Computer Science - Springer-
Relação: dc.relationDSAIPA/DS/0039/2018-
Relação: dc.relationUID/MULTI/04046/2103-
Direitos: dc.rightsopenAccess-
Palavras-chave: dc.subjectData pre-processing-
Palavras-chave: dc.subjectData generation-
Palavras-chave: dc.subjectStudent flow-
Palavras-chave: dc.subjectStochastic model-
Título: dc.titleData pre-processing and data generation in the student flow case study-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Aberto - Universidade Aberta (Portugal)

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