A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values - Archive ouverte HAL Access content directly
Journal Articles Engineering Applications of Artificial Intelligence Year : 2020

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hal-03492063 , version 1 (22-08-2022)

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Raymond Houé Ngouna, Romy Ratolojanahary, Kamal Medjaher, Fabien Dauriac, Mathieu Sebilo, et al.. A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values. Engineering Applications of Artificial Intelligence, 2020, 95, pp.103822 -. ⟨10.1016/j.engappai.2020.103822⟩. ⟨hal-03492063⟩
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