An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination
Crossref DOI link: https://doi.org/10.1186/s40854-021-00243-3
Published Online: 2021-04-21
Published Print: 2021-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Gunduz, Hakan https://orcid.org/0000-0003-2152-5490
Text and Data Mining valid from 2021-04-21
Version of Record valid from 2021-04-21
Article History
Received: 8 July 2020
Accepted: 12 April 2021
First Online: 21 April 2021