Feature selection approaches for predictive modelling of groundwater nitrate pollution: An evaluation of filters, embedded and wrapper methods

Recognising the various sources of nitrate pollution and understanding system dynamics are fundamental to tackle groundwater quality problems. A comprehensive GIS database of twenty parameters regarding hydrogeological and hydrological features and driving forces were used as inputs for predictive m...

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Veröffentlicht in:	The Science of the total environment 2018-05, Vol.624, p.661-672
Hauptverfasser:	Rodriguez-Galiano, V.F., Luque-Espinar, J.A., Chica-Olmo, M., Mendes, M.P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Embedded methods Feature selection Groundwater Machine learning algorithms Nitrates Wrapper methods
Online-Zugang:	Volltext
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