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A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values

Raymond Houé Ngouna, Romy Ratolojanahary, Kamal Medjaher, Fabien Dauriac, Mathieu Sébilo, Jean Junca-Bourié

2020Engineering Applications of Artificial Intelligence27 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceWater qualityPrognosticsImputation (statistics)Missing dataLeverage (statistics)Data miningData qualityDecision treeData scienceMachine learningOperations managementEcologyMetric (unit)EconomicsBiologyWater Quality Monitoring TechnologiesWater Quality Monitoring and AnalysisHydrological Forecasting Using AI
A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values | Litcius