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Artificial Intelligence for Fashion Industry in the Big Data Era
Muistilista on tyhjä
Vis
Hylly
  • 64.3 ART
Nimeke- ja vastuullisuusmerkintö
  • Artificial Intelligence for Fashion Industry in the Big Data Era
Julkaistu
  • Springer, Singapore 2018
SAB-luokituskoodi
  • 64.3
Muu luokituskoodi
  • 64.3
Ulkoasutiedot
  • 288 s.
Sarjamerkintö ei-lisäkirjausmuodossa
  • Springer Series in Fashion Business, ISSN 2366-8776
Yleinen huomautus
  • 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.
Asiasana
Henkilönnimi
  • Thomassey, Sebastien.
  • Zeng, Xianyi.
ISBN
  • 978-981-13-4325-4
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*24510$aArtificial Intelligence for Fashion Industry in the Big Data Era/$cSebastien Thomassey, Xianyi Zeng  (ed.)
*264  $aSingapore$bSpringer,$c2018
*300  $a288 s.
*490  $aSpringer Series in Fashion Business,$x2366-8776
*500  $aAI 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.
*650  $avaateteollisuus$2yso/fin$0http://www.yso.fi/onto/yso/p4451
*650  $atekoäly$2yso/fin$0http://www.yso.fi/onto/yso/p2616
*650 7$abig data$2yso/fin$0http://www.yso.fi/onto/yso/p27202
*7001 $aThomassey, Sebastien. 
*700  $aZeng, Xianyi. 
*852  $c64.3 ART
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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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