國立虎尾科技大學 |

Artificial Intelligence for Fashion Industry in the Big Data Era

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial Intelligence for Fashion Industry in the Big Data Era/ edited by Sébastien Thomassey, Xianyi Zeng.
其他作者:	Thomassey, Sébastien.
面頁冊數:	X, 288 p. 81 illus., 33 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Market research. -
電子資源:	https://doi.org/10.1007/978-981-13-0080-6
ISBN:	9789811300806

Artificial Intelligence for Fashion Industry in the Big Data Era
Artificial Intelligence for Fashion Industry in the Big Data Era[electronic resource] /edited by Sébastien Thomassey, Xianyi Zeng. - 1st ed. 2018. - X, 288 p. 81 illus., 33 illus. in color.online resource. - Springer Series in Fashion Business,2366-8776. - Springer Series in Fashion Business,.

AI based fashion sales forecasting methods in big data era -- Enhanced Predictive Models for Purchasing in the Fashion Field by Applying Regression Trees Equipped with Ordinal Logistic Regression -- A Data Mining Based Framework for Multi-Item Markdown Optimization -- Social Media Analytics for decision support in Fashion Buying Processes -- Review of Artificial Intelligence Applications in Garment Manufacturing -- AI for Apparel Manufacturing in Big Data Era: A Focus on Cutting and Sewing -- A Discrete Event Simulation Model with Genetic Algorithm Optimization for Customized Textile Production Scheduling -- An intelligent fashion replenishment system based on data analytics and expert judgement -- Blockchain based secured traceability system for textile and clothing supply chain -- Artificial intelligence applied to multisensory studies of textile products -- Evaluation of Fashion Design Using Artificial Intelligence Tools -- Garment wearing comfort analysis using data mining technology -- Garment fit evaluation using machine learning technology.

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.

ISBN: 9789811300806

Standard No.: 10.1007/978-981-13-0080-6doiSubjects--Topical Terms:

809436
Market research.

LC Class. No.: HF5415.2-5415.34

Dewey Class. No.: 658.83

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