Daily retail demand forecasting using machine learning with emphasis on calendric special days
Year of publication: |
2020
|
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Authors: | Huber, Jakob ; Stuckenschmidt, Heiner |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 36.2020, 4, p. 1420-1438
|
Subject: | Demand forecasting | Comparative studies | Forecasting practice | Neural networks | Decision trees | Regression | Classification | Prognoseverfahren | Forecasting model | Neuronale Netze | Nachfrage | Demand | Künstliche Intelligenz | Artificial intelligence |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Notes: | Erratum enthalten in: Volume 37, issue 3 (July/September 2021), Seite 1304-1305 |
Other identifiers: | 10.1016/j.ijforecast.2020.02.005 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
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