Frequent pattern mining augmented by social network parameters for measuring graduation and dropout time factors: A case study on a production engineering course-Reference-Cited by-同舟云学术

Frequent pattern mining augmented by social network parameters for measuring graduation and dropout time factors: A case study on a production engineering course

Published:2021-12 Issue: Volume: Page:101200
ISSN:0038-0121
Container-title:Socio-Economic Planning Sciences
language:en
Short-container-title:Socio-Economic Planning Sciences

Author:

dos Santos de Assis Breno^ORCID,Ogasawara Eduardo^ORCID,Barbastefano Rafael^ORCID,Carvalho Diego^ORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Economics and Econometrics,Geography, Planning and Development

Reference56 articles.

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4. Students' attrition and retention in higher education;Adusei-Asante,2016

5. An analysis of academic and institutional factors affecting graduation among engineering students at a South African university;Bengesai;Afr J Res Math Sci Technol Educ,2018

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