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Artificial Intelligence for Fashion Industry in the Big Data Era

Overview of attention for book
Artificial Intelligence for Fashion Industry in the Big Data Era
Springer Singapore

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction: Artificial Intelligence for Fashion Industry in the Big Data Era
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    Chapter 2 AI-Based Fashion Sales Forecasting Methods in Big Data Era
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    Chapter 3 Enhanced Predictive Models for Purchasing in the Fashion Field by Applying Regression Trees Equipped with Ordinal Logistic Regression
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    Chapter 4 A Data Mining-Based Framework for Multi-item Markdown Optimization
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    Chapter 5 Social Media Analytics for Decision Support in Fashion Buying Processes
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    Chapter 6 Review of Artificial Intelligence Applications in Garment Manufacturing
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    Chapter 7 AI for Apparel Manufacturing in Big Data Era: A Focus on Cutting and Sewing
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    Chapter 8 A Discrete Event Simulation Model with Genetic Algorithm Optimisation for Customised Textile Production Scheduling
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    Chapter 9 An Intelligent Fashion Replenishment System Based on Data Analytics and Expert Judgment
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    Chapter 10 Blockchain-Based Secured Traceability System for Textile and Clothing Supply Chain
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    Chapter 11 Artificial Intelligence Applied to Multisensory Studies of Textile Products
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    Chapter 12 Evaluation of Fashion Design Using Artificial Intelligence Tools
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    Chapter 13 Garment Wearing Comfort Analysis Using Data Mining Technology
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    Chapter 14 Garment Fit Evaluation Using Machine Learning Technology
Attention for Chapter 10: Blockchain-Based Secured Traceability System for Textile and Clothing Supply Chain
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Chapter title
Blockchain-Based Secured Traceability System for Textile and Clothing Supply Chain
Chapter number 10
Book title
Artificial Intelligence for Fashion Industry in the Big Data Era
Published by
Springer, Singapore, January 2018
DOI 10.1007/978-981-13-0080-6_10
Book ISBNs
978-9-81-130079-0, 978-9-81-130080-6
Authors

Tarun Kumar Agrawal, Ajay Sharma, Vijay Kumar, Agrawal, Tarun Kumar, Sharma, Ajay, Kumar, Vijay

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 14%
Student > Ph. D. Student 10 11%
Researcher 8 8%
Student > Bachelor 7 7%
Professor > Associate Professor 4 4%
Other 10 11%
Unknown 43 45%
Readers by discipline Count As %
Business, Management and Accounting 20 21%
Computer Science 11 12%
Engineering 4 4%
Unspecified 3 3%
Economics, Econometrics and Finance 3 3%
Other 9 9%
Unknown 45 47%