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Artificial intelligence for fashion ...
~
Thomassey, Sebastien.
Artificial intelligence for fashion industry in the big data era
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Artificial intelligence for fashion industry in the big data era/ edited by Sebastien Thomassey, Xianyi Zeng.
other author:
Thomassey, Sebastien.
Published:
Singapore :Springer Singapore : : 2018.,
Description:
viii, 288 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Clothing trade - Data processing. -
Online resource:
http://dx.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 Sebastien Thomassey, Xianyi Zeng. - Singapore :Springer Singapore :2018. - viii, 288 p. :ill., digital ;24 cm. - 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:
1029544
Clothing trade
--Data processing.
LC Class. No.: HD9940.A2 / A785 2018
Dewey Class. No.: 687.0285
Artificial intelligence for fashion industry in the big data era
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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.
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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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Business and Management (Springer-41169)
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