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Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)
BACKGROUND: Stock market process is full of uncertainty; hence stock prices forecasting very important in finance and business. For stockbrokers, understanding trends and supported by prediction software for forecasting is very important for decision making. This paper proposes a data science model...
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| Pubblicato in: | J Big Data |
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| Autore principale: | |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer International Publishing
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7948653/ https://ncbi.nlm.nih.gov/pubmed/33723498 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40537-021-00430-0 |
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