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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.

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Title: A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values.
Authors: Ngouna, Raymond Houé1, raymond.houe-ngouna@enit.fr, Ratolojanahary, Romy1, romy-alinoro.ratolojanahary@enit.fr, Medjaher, Kamal1, kamal.medjaher@enit.fr, Dauriac, Fabien2, fdauriac@hautes-pyrenees.chambagri.fr, Sebilo, Mathieu3,4, mathieu.sebilo@sorbonne-universite.fr, Junca-Bourié, Jean5, jean.junca-bourie@eau-adour-garonne.fr
Source: Engineering Applications of Artificial Intelligence; Oct2020, Vol. 95, pN.PAG-N.PAG, 1p, 3 Charts
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 145651778
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values.
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  Data: <searchLink fieldCode="AU" term="%22Ngouna%2C+Raymond+Houé%22">Ngouna, Raymond Houé</searchLink><relatesTo>1</relatesTo>, <i>raymond.houe-ngouna@enit.fr</i><br /><searchLink fieldCode="AU" term="%22Ratolojanahary%2C+Romy%22">Ratolojanahary, Romy</searchLink><relatesTo>1</relatesTo>, <i>romy-alinoro.ratolojanahary@enit.fr</i><br /><searchLink fieldCode="AU" term="%22Medjaher%2C+Kamal%22">Medjaher, Kamal</searchLink><relatesTo>1</relatesTo>, <i>kamal.medjaher@enit.fr</i><br /><searchLink fieldCode="AU" term="%22Dauriac%2C+Fabien%22">Dauriac, Fabien</searchLink><relatesTo>2</relatesTo>, <i>fdauriac@hautes-pyrenees.chambagri.fr</i><br /><searchLink fieldCode="AU" term="%22Sebilo%2C+Mathieu%22">Sebilo, Mathieu</searchLink><relatesTo>3,4</relatesTo>, <i>mathieu.sebilo@sorbonne-universite.fr</i><br /><searchLink fieldCode="AU" term="%22Junca-Bourié%2C+Jean%22">Junca-Bourié, Jean</searchLink><relatesTo>5</relatesTo>, <i>jean.junca-bourie@eau-adour-garonne.fr</i>
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  Data: <searchLink fieldCode="JN" term="%22Engineering+Applications+of+Artificial+Intelligence%22">Engineering Applications of Artificial Intelligence</searchLink>; Oct2020, Vol. 95, pN.PAG-N.PAG, 1p, 3 Charts
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=145651778
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.engappai.2020.103822
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values.
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            NameFull: Ngouna, Raymond Houé
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            NameFull: Ratolojanahary, Romy
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            NameFull: Medjaher, Kamal
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            NameFull: Dauriac, Fabien
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            NameFull: Sebilo, Mathieu
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            NameFull: Junca-Bourié, Jean
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            – D: 01
              M: 10
              Text: Oct2020
              Type: published
              Y: 2020
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              Value: 95
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            – TitleFull: Engineering Applications of Artificial Intelligence
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