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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| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | Englisch |
| Veröffentlicht: |
Singapore :
Springer Singapore ,
2018.
|
| Ausgabe: | 1st ed. 2018. |
| Schriftenreihe: | Springer Series in Fashion Business,
|
| Schlagworte: | |
| ISBN: | 9789811300806 |
| ISSN: | 2366-8776 |
| Online-Zugang: |
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| 024 | 7 | |a 10.1007/978-981-13-0080-6 |2 doi | |
| 035 | |a CVTIDW06955 | ||
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| 041 | |a eng | ||
| 245 | 1 | 0 | |a Artificial Intelligence for Fashion Industry in the Big Data Era |h [electronic resource] / |c edited by Sébastien Thomassey, Xianyi Zeng. |
| 250 | |a 1st ed. 2018. | ||
| 260 | 1 | |a Singapore : |b Springer Singapore , |c 2018. | |
| 300 | |a X, 288 p. 81 illus., 33 illus. in color. |b online resource. | ||
| 490 | 1 | |a Springer Series in Fashion Business, |x 2366-8776 | |
| 500 | |a Business and Management | ||
| 505 | 0 | |a 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. | |
| 516 | |a text file PDF | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Market research. | |
| 650 | 0 | |a Textile industry. | |
| 650 | 0 | |a Artificial intelligence. | |
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