A demand forecasting system of product categories defined by their time series using a hybrid approach of ensemble learning with feature engineering
Crossref DOI link: https://doi.org/10.1007/s00607-024-01320-y
Published Online: 2024-09-02
Published Print: 2024-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Mejía, Santiago
Aguilar, Jose
Funding for this research was provided by:
EAFTIT University
Text and Data Mining valid from 2024-09-02
Version of Record valid from 2024-09-02
Article History
Received: 9 September 2023
Accepted: 9 July 2024
First Online: 2 September 2024
Declarations
:
: The authors declare no competing interests.