Artificial Intelligence for Fashion Industry in the Big Data Era (Springer Series in Fashion Business)

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Artificial Intelligence for Fashion Industry in the Big Data Era (Springer Series in Fashion Business)

Thomassey, Sébastien (EDT)/ Zeng, Xianyi (EDT)

ウェブストア価格 ¥47,700（本体¥43,364）
Springer Verlag, Singapore（2019/02発売）
外貨定価 US$ 219.99
ポイント 433pt

オンデマンド(OD/POD)版です。キャンセルは承れません。

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製本 Paperback:紙装版/ペーパーバック版／ページ数 288 p.
言語 ENG
商品コード 9789811343254
DDC分類 006

Full Description

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

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.