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03672nam a2200517 4500 |
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978-981-13-0080-6 |
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DE-He213 |
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20190704051056.0 |
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cr nn 008mamaa |
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180516s2018 si | s |||| 0|eng d |
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|a 9789811300806
|9 978-981-13-0080-6
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|a 10.1007/978-981-13-0080-6
|2 doi
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|a 658.83
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|a Artificial Intelligence for Fashion Industry in the Big Data Era
|h [electronic resource] /
|c edited by Sébastien Thomassey, Xianyi Zeng.
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| 250 |
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|a 1st ed. 2018.
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|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2018.
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| 300 |
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|a X, 288 p. 81 illus., 33 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Springer Series in Fashion Business,
|x 2366-8776
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| 505 |
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|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.
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| 520 |
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|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.
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|a Market research.
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| 650 |
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|a Textile industry.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Market Research/Competitive Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/513030
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| 650 |
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|a Textile Engineering.
|0 http://scigraph.springernature.com/things/product-market-codes/C24000
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| 650 |
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|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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| 700 |
1 |
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|a Thomassey, Sébastien.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Zeng, Xianyi.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9789811300790
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| 776 |
0 |
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|i Printed edition:
|z 9789811300813
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| 776 |
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|i Printed edition:
|z 9789811343254
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| 830 |
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|a Springer Series in Fashion Business,
|x 2366-8776
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| 856 |
4 |
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|u https://doi.org/10.1007/978-981-13-0080-6
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-BUM
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| 950 |
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|a Business and Management (Springer-41169)
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