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...

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Detalles Bibliográficos
Autores principales: Tripathi, Shailesh, Muhr, David, Brunner, Manuel, Jodlbauer, Herbert, Dehmer, Matthias, Emmert-Streib, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
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

Internet

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

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