Availability: Data science for supply chain forecasting

Data science for supply chain forecasting:

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Bibliographic Details
Main Author:	Vandeput, Nicolas (Author)
Other Authors:	Makridakis, Spyros G. 1941- (Contributor), Ndiaye, Alassane Ballé (Contributor)
Format:	Electronic eBook
Language:	English
Published:	Berlin ; Boston De Gruyter [2021]
Edition:	2nd edition
Subjects:	Künstliche Intelligenz Supply Chain Management Prognoseverfahren Nachfrageermittlung Datenmanagement Maschinelles Lernen
Links:	https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124 https://doi.org/10.1515/9783110671124
Physical Description:	1 Online-Ressource (XXVIII, 282 Seiten)
ISBN:	9783110671124 9783110671209
DOI:	10.1515/9783110671124

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owner_facet	DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-473 DE-BY-UBG DE-739 DE-91 DE-BY-TUM DE-706 DE-M347 DE-898 DE-BY-UBR DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-573 DE-29 DE-945 DE-11
physical	1 Online-Ressource (XXVIII, 282 Seiten)
psigel	ZDB-23-DGG ZDB-23-DEI ZDB-23-DBV ZDB-23-DBV21 ZDB-23-DGG FAB_PDA_DGG ZDB-23-DGG FAW_PDA_DGG ZDB-23-DGG FCO_PDA_DGG ZDB-23-DBV Einzelkauf ZDB-23-DEI ZDB-23-DEI20 ZDB-23-DGG FKE_PDA_DGG ZDB-23-DGG FLA_PDA_DGG ZDB-23-DEI TUM_Paketkauf ZDB-23-DGG UBG_PDA_DGG_Kauf22 ZDB-23-DBV ZDB-23-DBV21 ZDB-23-DBV UER_Paketkauf_2021 ZDB-23-DGG UPA_PDA_DGG_Kauf2022
publishDate	2021
publishDateSearch	2021
publishDateSort	2021
publisher	De Gruyter
record_format	marc
spellingShingle	Vandeput, Nicolas Data science for supply chain forecasting Künstliche Intelligenz (DE-588)4033447-8 gnd Supply Chain Management (DE-588)4684051-5 gnd Prognoseverfahren (DE-588)4358095-6 gnd Nachfrageermittlung (DE-588)4134942-8 gnd Datenmanagement (DE-588)4213132-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)4033447-8 (DE-588)4684051-5 (DE-588)4358095-6 (DE-588)4134942-8 (DE-588)4213132-7 (DE-588)4193754-5
title	Data science for supply chain forecasting
title_auth	Data science for supply chain forecasting
title_exact_search	Data science for supply chain forecasting
title_full	Data science for supply chain forecasting Nicolas Vandeput
title_fullStr	Data science for supply chain forecasting Nicolas Vandeput
title_full_unstemmed	Data science for supply chain forecasting Nicolas Vandeput
title_short	Data science for supply chain forecasting
title_sort	data science for supply chain forecasting
topic	Künstliche Intelligenz (DE-588)4033447-8 gnd Supply Chain Management (DE-588)4684051-5 gnd Prognoseverfahren (DE-588)4358095-6 gnd Nachfrageermittlung (DE-588)4134942-8 gnd Datenmanagement (DE-588)4213132-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Künstliche Intelligenz Supply Chain Management Prognoseverfahren Nachfrageermittlung Datenmanagement Maschinelles Lernen
url	https://doi.org/10.1515/9783110671124
work_keys_str_mv	AT vandeputnicolas datascienceforsupplychainforecasting AT makridakisspyrosg datascienceforsupplychainforecasting AT ndiayealassaneballe datascienceforsupplychainforecasting

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