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Laci Mary Barbosa Manhães



Created by Quid/BR-IE Loader at 2014-12-16 21:33:56.0.
Last updated by Lattes PostCaptcha Importer at 2015-03-29 11:24:48.0.
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5

Previsão de Estudantes com Risco de Evasão Utilizando Técnicas de Mineração de Dados

Identificacao dos fatores que influenciam a evasao em cursos de graduacao através de sistemas baseados em mineracao de dados: Uma abordagem quantitativa

WAVE: an architecture for predicting dropout in undergraduate courses using EDM

Evaluating Performance and Dropouts of Undergraduates Using Educational Data Mining

Ana?lise dos exames do ENADE para os cursos de computac?ao utilizando o software R

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2

SBIE 2011.

SBIE 2011. - Artigos

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5

Geraldo Zimbrão

Sérgio Manuel Serra da Cruz

Jorge Zavaleta

Raimundo José Macário Costa

Fla?vio Barreiro Landes

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4

Previsão de Desempenho de Estudantes em Cursos EAD Utilizando Mineração de Dados: uma Estratégia Baseada em Séries Temporais

Minerando Dados Educacionais com foco na evasão escolar: oportunidades, desafios e necessidades

Estimativa de Desempenho Acadêmico de Estudantes: Análise da Aplicação de Técnicas de Mineração de Dados em Cursos a Distância

O sucesso não é apenas uma questão de sorte: um mapeamento sistemático sobre técnicas de análise do Enade da área de Computação

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Laci Mary Barbosa Manhães


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Laci Mary Barbosa Manhães


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