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2016 | OriginalPaper | Buchkapitel

Data Processing for a Water Quality Detection System on Colombian Rio Piedras Basin

verfasst von : Edwin Castillo, David Camilo Corrales, Emmanuel Lasso, Agapito Ledezma, Juan Carlos Corrales

Erschienen in: Computational Science and Its Applications -- ICCSA 2016

Verlag: Springer International Publishing

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Abstract

Freshwater is considered one of the most important of planet’s renewable natural resources. In this sense, it is vital to study and evaluate the water quality in rivers and basins. A study area is Rio Piedras Basin, which is the main water supplier source of 9 rural communities in Colombia. Nevertheless, these communities do not make a water quality control. Different research has been conducted to develop water quality detection systems through supervised learning algorithms. However, these research approaches set aside the data processing for improve the outcomes of supervised learning algorithms. This paper presents an improvement of data processing techniques for a water quality detection system based on supervised learning and data quality techniques for Rio Piedras Basin.

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Titel: Data Processing for a Water Quality Detection System on Colombian Rio Piedras Basin
verfasst von: Edwin Castillo
David Camilo Corrales
Emmanuel Lasso
Agapito Ledezma
Juan Carlos Corrales
Verlag: Springer International Publishing
Buch: Computational Science and Its Applications -- ICCSA 2016
Print ISBN: 978-3-319-42088-2

Electronic ISBN: 978-3-319-42089-9

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-42089-9_47

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