Artificial Intelligence for Fashion Industry in the Big Data Era

edited by Sébastien Thomassey, Xianyi Zeng

This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion industry (design, manufacturing, supply or retailing), before moving on to illustrate its implementation in a real-world application

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Year of publication:	2018
Other Persons:	Thomassey, Sébastien (ed.) ; Zeng, Xianyi (ed.)
Publisher:	Singapore : Springer
Subject:	Künstliche Intelligenz \| Artificial intelligence \| Big Data \| Big data \| Mode \| Fashion \| Bekleidungsindustrie \| Clothing industry
Description of contents:	Description [swbplus.bsz-bw.de]

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Extent:	Online-Ressource (VIII, 288 p. 81 illus., 33 illus. in color, online resource)
Series:	Springer Series in Fashion Business SpringerLink / Bücher Springer eBook Collection / Business and Management
Type of publication:	Book / Working Paper
Language:	English
ISBN:	978-981-13-0080-6 ; 978-981-13-0079-0
Other identifiers:	10.1007/978-981-13-0080-6 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012396692