Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining

Karim Nadim, Ahmed Ragab and Mohamed-Salah Ouali

Article (2022)

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Department:	Department of Mathematics and Industrial Engineering
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:	29 Sep 2023 14:34

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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