Preparation of water quality dataset using outlier detection and imputation methods
Reliable water quality assessment depends on high-quality datasets; however, datasets obtained from field measurements often contain outliers and missing values, which directly affect subsequent analytical processes. This study presents a practical system application that enhances dataset integrity...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Polish Academy of Sciences
2026-02-01
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| coleção: | Archives of Environmental Protection |
| Assuntos: | |
| Acesso em linha: | https://journals.pan.pl/Content/138263/PDF/Archives%20vol%2052%20srodki%203-15.pdf |
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