A data-driven method for detecting and diagnosing causes of water quality contamination in a dataset with a high rate of missing values.
Saved in:
| 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 |
| ISSN: | 09521976 |
|---|---|
| DOI: | 10.1016/j.engappai.2020.103822 |
