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Zeng / Thomassey

Artificial Intelligence for Fashion Industry in the Big Data Era

Medium: Buch
ISBN: 978-981-13-4325-4
Verlag: Springer Nature Singapore
Erscheinungstermin: 09.02.2019
Lieferfrist: bis zu 10 Tage

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


Produkteigenschaften


  • Artikelnummer: 9789811343254
  • Medium: Buch
  • ISBN: 978-981-13-4325-4
  • Verlag: Springer Nature Singapore
  • Erscheinungstermin: 09.02.2019
  • Sprache(n): Englisch
  • Auflage: Softcover Nachdruck of the original 1. Auflage 2018
  • Serie: Springer Series in Fashion Business
  • Produktform: Kartoniert, Previously published in hardcover
  • Gewicht: 458 g
  • Seiten: 288
  • Format (B x H x T): 155 x 235 x 17 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.