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Towards Time-Series Feature Engineering in Automated Machine Learning for Multi-Step-Ahead Forecasting
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In
ITISE 2022 : The 8th International Conference on Time Series and Forecasting Gran Canaria, Spain : 27–30 June 2022 / Volume Editors: Ignacio Rojas, Hector Pomares, Olga Valenzuela, Fernando Rojas and Luis Javier Herrera
In
Engineering proceedings 18(1), Seiten/Artikel-Nr.:17
2022
Online
DOI: 10.18154/RWTH-CONV-251437
DOI: 10.3390/engproc2022018017
URL: https://publications.rwth-aachen.de/record/957641/files/957641.pdf
OpenAccess: 
PDF
Dokumenttyp
Journal Article/Contribution to a conference proceedings
Format
online
Herkunft
Externe Einrichtung
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85138893159
Interne Identnummern
RWTH-CONV-251437
Datensatz-ID: 957641
Beteiligte Länder
Germany, Netherlands
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