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

MLA

Nadim, Karim, et al. “Data-Driven Dynamic Causality Analysis of Industrial Systems Using Interpretable Machine Learning and Process Mining.” Journal of Intelligent Manufacturing, vol. 34, no. 1, Jan. 2023, pp. 57–83. EBSCOhost, https://doi.org/10.1007/s10845-021-01903-y.

APA

Nadim, K., Ragab, A., & Ouali, M.-S. (2023). 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

Chicago

Nadim, Karim, Ahmed Ragab, and Mohamed-Salah Ouali. 2023. “Data-Driven Dynamic Causality Analysis of Industrial Systems Using Interpretable Machine Learning and Process Mining.” Journal of Intelligent Manufacturing 34 (1): 57–83. doi:10.1007/s10845-021-01903-y.