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Review of ML and AutoML Solutions to Forecast Time-Series Data
Time-series forecasting is a significant discipline of data modeling where past observations of the same variable are analyzed to predict the future values of the time series. Its prominence lies in different use cases where it is required, including economic, weather, stock price, business developm...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159649/ https://www.ncbi.nlm.nih.gov/pubmed/35669518 http://dx.doi.org/10.1007/s11831-022-09765-0 |