Get 40% off our selection of bestselling print books in Engineering through October 31st!

Springer Series in Fashion Business

Artificial Intelligence for Fashion Industry in the Big Data Era

Editors: Thomassey, Sébastien, Zeng, Xianyi (Eds.)

  • Provides an overview of current issues in the fashion industry Includes updates on existing artificial intelligence (AI) techniques suitable for the fashion industry Highlights practical examples of the implementation of AI techniques in the fashion industry 

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-981-13-0080-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-981-13-0079-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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

About the authors

Sébastien Thomassey (PhD) is currently associate professor at the “Ecole Supérieure des Arts et Industries Textiles” (ENSAIT) and the GEMTEX laboratory. He gained an MSc(Eng.) in textile and clothing production from the ENSAIT in 1999, an MSc in advanced data analysis from the Lille I University in 1999 and a PhD in automation and information technology from the Lille I University in 2002. He was an engineer in R&D at the French technical center for the textile/clothing, IFTH, from 1999 to 2002 and a researcher at the Mathematic and Operational Research Laboratory of the Polytechnic Institute of Mons in Belgium in 2003. His research is mainly focused on the implementation of soft computing and data mining techniques for modeling, simulation, supply and production chain optimization, forecasting sales of clothing products, clustering, classification and decision support systems for textile/apparel industry. His work has been published in refereed journals, such as Applied Soft Computing, Decision Support Systems, European Journal of Operational Research, and the International Journal of Production Economics,. He is actively involved in research projects in production and supply chain management, sales forecasting and clustering/classification of fashion products. He has also participated in various European and national research projects related to sustainable textile design and management, simulation and optimization of manufacturing units, clustering and classification of 3D morphologies for intelligent sizing systems, and sales-forecast-based simulation in pricing strategy.
X.Y. Zeng received the B.Eng. degree from the Department of Science and Technology, Tsinghua University, Beijing, China, in 1986, and the Ph.D. degree from the Centre d’Automatique, Université des Sciences et Technologies de Lille, Villeneuve d’Ascq, France, in 1992. He is currently a Full Professor with the French Engineer School, Ecole Nationale Supérieure des Arts et Industries Textiles (ENSAIT), Roubaix, France. Since 2000, he has led the Human-Centered Design research team in ENSAIT. He has published two scientific books, more than 260 papers at reviewed international journals, and international conference proceedings. His research interests include: 1) intelligent decision support systems for fashion and material design, 2) modeling of human perception and cognition on industrial products, 3) intelligent wearable systems.

Dr. Zeng is currently an Associate Editor of International Journal of Computational Intelligence System and Journal of Fiber Bioengineering and Informatics, a Guest Editor of Special Issues for six international journals, and a senior member of IEEE. He has organized 12 international conferences and workshops since 1996. Since 2000, he has been the leader of three European projects, four national research projects funded by the French government, three bilateral research cooperation projects, and more than 20 industrial projects.




Table of contents (15 chapters)

  • Introduction: Artificial Intelligence for Fashion Industry in the Big Data Era

    Thomassey, Sébastien (et al.)

    Pages 1-6

  • AI-Based Fashion Sales Forecasting Methods in Big Data Era

    Ren, Shuyun (et al.)

    Pages 9-26

    Preview Buy Chapter 30,19 €
  • Enhanced Predictive Models for Purchasing in the Fashion Field by Applying Regression Trees Equipped with Ordinal Logistic Regression

    Fallah Tehrani, Ali (et al.)

    Pages 27-45

  • A Data Mining-Based Framework for Multi-item Markdown Optimization

    Demiriz, Ayhan

    Pages 47-70

  • Social Media Analytics for Decision Support in Fashion Buying Processes

    Beheshti-Kashi, Samaneh (et al.)

    Pages 71-93

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-981-13-0080-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-981-13-0079-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Artificial Intelligence for Fashion Industry in the Big Data Era
Editors
  • Sébastien Thomassey
  • Xianyi Zeng
Series Title
Springer Series in Fashion Business
Copyright
2018
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-0080-6
DOI
10.1007/978-981-13-0080-6
Hardcover ISBN
978-981-13-0079-0
Series ISSN
2366-8776
Edition Number
1
Number of Pages
X, 288
Number of Illustrations and Tables
48 b/w illustrations, 33 illustrations in colour
Topics