# Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/performance-of-machine-learning-methods-in-predicting-water-quality-index-based/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Saber Kouadri,Ahmed Elbeltagi,Abu Reza Md. Towfiqul Islam,Samir Kateb |
| Citations | 281 |
| DOI | 10.1007/s13201-021-01528-9 |
| Fields | Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://link.springer.com/content/pdf/10.1007/s13201-021-01528-9.pdf |
| OpenAlex ID | https://openalex.org/W3211647702 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Ahmed Elbeltagi](https://scholariq.org/researchers/ahmed-elbeltagi/)

## Paper primary topic

- [Water Quality and Pollution Assessment](https://scholariq.org/topics/water-quality-and-pollution-assessment/)

## Paper topics

- [Water Quality and Pollution Assessment](https://scholariq.org/topics/water-quality-and-pollution-assessment/)
- [Hydrological Forecasting Using AI](https://scholariq.org/topics/hydrological-forecasting-using-ai/)
- [Groundwater and Watershed Analysis](https://scholariq.org/topics/groundwater-and-watershed-analysis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.