Artificial Intelligence for Fashion Industry in the Big Data Era

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...

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Bibliographic Details
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore , 2018.
Edition:1st ed. 2018.
Series:Springer Series in Fashion Business,
Subjects:
Market research.
Textile industry.
Artificial intelligence.
ISBN:9789811300806
ISSN:2366-8776
Online Access: Get full text
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Table of Contents:
  • 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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