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Comparative analysis of decision tree algorithms on quality of water contaminated with soil Ciência Rural
Dota,Mara Andrea; Cugnasca,Carlos Eduardo; Barbosa,Domingos Sávio.
Agriculture, roads, animal farms and other land uses may modify the water quality from rivers, dams and other surface freshwaters. In the control of the ecological process and for environmental management, it is necessary to quickly and accurately identify surface water contamination (in areas such as rivers and dams) with contaminated runoff waters coming, for example, from cultivation and urban areas. This paper presents a comparative analysis of different classification algorithms applied to the data collected from a sample of soil-contaminated water aiming to identify if the water quality classification proposed in this research agrees with reality. The sample was part of a laboratory experiment, which began with a sample of treated water added with...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Environmentalcontrol; Runoff; Wireless sensor networks; Machine learning; Data mining.
Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015000200267
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