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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| 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 |