Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
2196-1115
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
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

Classification
Wirtschaft

Creator
Budiharto, Widodo
Contributor
SpringerLink (Online service)

DOI
10.1186/s40537-021-00430-0
URN
urn:nbn:de:101:1-2021040121252048564281
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 11:00 AM CEST

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Associated

  • Budiharto, Widodo
  • SpringerLink (Online service)

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