Principled Data Preprocessing: Application to Biological Aquatic Indicators of Water Pollution

Eva Balderas; Laure Berti-Équille; Maria Aurora Armienta Hernandez; Corinne Grac

doi:10.1109/DEXA.2017.27

Conference Papers Year : 2017

Principled Data Preprocessing: Application to Biological Aquatic Indicators of Water Pollution

, (1) , , (2)

1
2

Eva Balderas

Function : Author

Laure Berti-Équille

Function : Author
PersonId : 19540
IdHAL : laure-berti-equille
ORCID : 0000-0002-8046-0570
IdRef : 130675725

UMR 228 Espace-Dev, Espace pour le développement

Maria Aurora Armienta Hernandez

Function : Author

Corinne Grac

Function : Author
PersonId : 7161
IdHAL : cgrac
ORCID : 0000-0002-5125-3804
IdRef : 167713523

Laboratoire Image, Ville, Environnement

CV

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Artificial Intelligence [cs.AI] Databases [cs.DB] Machine Learning [cs.LG] Ecology, environment Hydrology Other Statistics [stat.ML]

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https://inria.hal.science/hal-01855746

Submitted on : Wednesday, August 8, 2018-2:38:24 PM

Last modification on : Thursday, February 29, 2024-8:58:04 AM

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hal-01855746 , version 1 (08-08-2018)

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HAL Id : hal-01855746 , version 1
DOI : 10.1109/DEXA.2017.27

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Eva Balderas, Laure Berti-Équille, Maria Aurora Armienta Hernandez, Corinne Grac. Principled Data Preprocessing: Application to Biological Aquatic Indicators of Water Pollution. 2017 28th International Workshop on Database and Expert Systems Applications (DEXA), Aug 2017, Lyon, France. ⟨10.1109/DEXA.2017.27⟩. ⟨hal-01855746⟩

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Principled Data Preprocessing: Application to Biological Aquatic Indicators of Water Pollution

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