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Statistical and Machine Learning Methods for Automotive Spare Parts Demand Prediction

AuthID
P-00Y-18B

Author(s)

Carmo, T

Cruz, M

Santos, J

Ramos, S

Barroso, S

Araujo, P

Editor(s)

Ehrhardt,M;Gunther,M

Document Type

Proceedings Paper

Year published

2022

Published

in PROGRESS IN INDUSTRIAL MATHEMATICS AT ECMI in Mathematics in Industry-Cham, ISSN: 1612-3956

Volume: 39, Pages: 471-476 (6)

Conference

21St European Conference on Mathematics for Industry, Ecmi, Date: APR 13-15, 2021, Location: Univ of Wuppertal, Wuppertal, GERMANY, Host: Univ of Wuppertal

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Publication Identifiers

DOI: 10.1007/978-3-031-11818-0_61

Wos: WOS:000930654200061

Source Identifiers

ISSN: 1612-3956

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Statistical and Machine Learning Methods for Automotive Spare Parts Demand Prediction

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