Provenance-and machine learning-based recommendation of parameter values in scientific workflows

Scientific Workflows (SWfs) have revolutionized how scientists in various domains of science conduct their experiments. The management of SWfs is performed by complex tools that provide support for workflow composition, monitoring, execution, capturing, and storage of the data generated during execu...

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Detalles Bibliográficos
Autores principales: Silva Junior, Daniel, Pacitti, Esther, Paes, Aline, de Oliveira, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Data Mining and Machine Learning
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8279147/
https://www.ncbi.nlm.nih.gov/pubmed/34307859
http://dx.doi.org/10.7717/peerj-cs.606

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8279147/
https://www.ncbi.nlm.nih.gov/pubmed/34307859
http://dx.doi.org/10.7717/peerj-cs.606

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