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Retracted: An Association Rule-Based Multiresource Mining Method for MOOC Teaching

Detalles Bibliográficos
Autor principal: Methods in Medicine, Computational and Mathematical
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322532/
https://www.ncbi.nlm.nih.gov/pubmed/37416256
http://dx.doi.org/10.1155/2023/9762976
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author Methods in Medicine, Computational and Mathematical
author_facet Methods in Medicine, Computational and Mathematical
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spelling pubmed-103225322023-07-06 Retracted: An Association Rule-Based Multiresource Mining Method for MOOC Teaching Methods in Medicine, Computational and Mathematical Comput Math Methods Med Retraction Hindawi 2023-06-28 /pmc/articles/PMC10322532/ /pubmed/37416256 http://dx.doi.org/10.1155/2023/9762976 Text en Copyright © 2023 Computational and Mathematical Methods in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Retraction
Methods in Medicine, Computational and Mathematical
Retracted: An Association Rule-Based Multiresource Mining Method for MOOC Teaching
title Retracted: An Association Rule-Based Multiresource Mining Method for MOOC Teaching
title_full Retracted: An Association Rule-Based Multiresource Mining Method for MOOC Teaching
title_fullStr Retracted: An Association Rule-Based Multiresource Mining Method for MOOC Teaching
title_full_unstemmed Retracted: An Association Rule-Based Multiresource Mining Method for MOOC Teaching
title_short Retracted: An Association Rule-Based Multiresource Mining Method for MOOC Teaching
title_sort retracted: an association rule-based multiresource mining method for mooc teaching
topic Retraction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322532/
https://www.ncbi.nlm.nih.gov/pubmed/37416256
http://dx.doi.org/10.1155/2023/9762976
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