Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2196-1115
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM) ; volume:8 ; number:1 ; day:11 ; month:3 ; year:2021 ; pages:1-9 ; date:12.2021
Journal of Big Data ; 8, Heft 1 (11.3.2021), 1-9, 12.2021
- Klassifikation
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Wirtschaft
- Urheber
-
Budiharto, Widodo
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40537-021-00430-0
- URN
-
urn:nbn:de:101:1-2021040121252048564281
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:00 MESZ
Datenpartner
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Beteiligte
- Budiharto, Widodo
- SpringerLink (Online service)
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