Karim Nadim, Ahmed Ragab and Mohamed-Salah Ouali
Article (2022)
An external link is available for this itemDepartment: | Department of Mathematics and Industrial Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/50844/ |
Journal Title: | Journal of Intelligent Manufacturing (vol. 34, no. 1) |
Publisher: | Springer-Verlag |
DOI: | 10.1007/s10845-021-01903-y |
Official URL: | https://doi.org/10.1007/s10845-021-01903-y |
Date Deposited: | 18 Apr 2023 14:59 |
Last Modified: | 08 Apr 2025 07:18 |
Cite in APA 7: | Nadim, K., Ragab, A., & Ouali, M.-S. (2022). Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining. Journal of Intelligent Manufacturing, 34(1), 57-83. https://doi.org/10.1007/s10845-021-01903-y |
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