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Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing
The Cross-Industry Standard Process for Data Mining (CRISP-DM) is a widely accepted framework in production and manufacturing. This data-driven knowledge discovery framework provides an orderly partition of the often complex data mining processes to ensure a practical implementation of data analytic...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236533/ https://www.ncbi.nlm.nih.gov/pubmed/34195608 http://dx.doi.org/10.3389/frai.2021.576892 |