عنوان
پدید آورنده
موضوع
رده
HD9940.A2
HD9940
.
A2
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9789811300790
(Number (ISBN
9789811300806
(Number (ISBN
9789811300813
(Number (ISBN
9789811343254
(Number (ISBN
9811300798
(Number (ISBN
9811300801
(Number (ISBN
981130081X
(Number (ISBN
981134325X
Erroneous ISBN
9789811300790
Erroneous ISBN
9811300798
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Artificial intelligence for fashion industry in the big data era /
General Material Designation
[Book]
First Statement of Responsibility
Sébastien Thomassey, Xianyi Zeng, editors.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2018]
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (viii, 288 pages)
SERIES
Series Title
Springer Series in Fashion Business,
ISSN of Series
2366-8776
CONTENTS NOTE
Text of Note
Intro; Preface; Contents; Introduction: Artificial Intelligence for Fashion Industry in the Big Data Era; References; Part I AI for Fashion Sales Forecasting; AI-Based Fashion Sales Forecasting Methods in Big Data Era; 1 Introduction; 2 AI-Based Fashion Sales Forecasting Methods; 2.1 ANN and ELM-Based Methods; 2.2 Fuzzy Logic-Based Methods; 2.3 Support Vector Machines (SVMs); 3 Application of Big Data in Fashion Industry; 4 AI-Based Fashion Sales Forecasting Methods in Big Data Era; 4.1 Data Filtering; 4.2 Feature Extraction; 4.3 Data Training; 4.4 Forecast Output; 5 Conclusion; References.
Text of Note
2.6 Machine Layout Design3 Garment Quality Control and Inspection; 3.1 Seam and Fabric Sewing Performance; 3.2 Sewing Automation Equipment; 3.3 Assessing Seam Pucker; 3.4 Detecting and Classifying Garments Defects; 3.5 Dimensional Change Issue; 4 Garment Quality Evaluation; 4.1 Clothing Sensory Comfort; 4.2 Clothing Thermal Properties; 4.3 Garment Appearance Quality; 5 Challenges Facing Adoption of AI Techniques in Clothing Industry; 6 Conclusion; References; AI for Apparel Manufacturing in Big Data Era: A Focus on Cutting and Sewing; 1 Introduction; 2 Apparel Manufacturing Process.
Text of Note
3 Multiple Forecasts in Retail4 Deterministic Dynamic Pricing Model; 5 Empirical Study; 5.1 Finding-Related Item Groups; 5.2 Conducting Multivariate Regression Analysis Within Item Groups; 5.3 Implementing Deterministic Multi-item Markdown Optimization Model; 6 Concluding Remarks; References; Social Media Analytics for Decision Support in Fashion Buying Processes; 1 Introduction; 2 Theoretical Background; 2.1 Social Media; 2.2 Text Mining; 3 Research Approach: Topic Detection and Tracking in Fashion Blogs; 4 Results on Experimental Analyses of Fashion Blogs.
Text of Note
4.1 Topic Detection-Single Colour Occurrences4.2 Topic Detection-Co-occurred Colour Occurrences; 4.3 Topic Tracking of Fashion Topics; 5 Buyers Perspective-Discussion; 6 Conclusion and Outlook; References; Part II AI for Textile Apparel Manufacturing and Supply Chain; Review of Artificial Intelligence Applications in Garment Manufacturing; 1 Introduction; 2 Applications of AI to Production Planning, Control, and Scheduling; 2.1 Production Order Scheduling; 2.2 Cut-Order Planning; 2.3 Marker Making; 2.4 Fabric Spreading and Cutting Schedules; 2.5 Assembly-Line Balancing.
Text of Note
Enhanced Predictive Models for Purchasing in the Fashion Field by Applying Regression Trees Equipped with Ordinal Logistic Regression1 Introduction; 2 Related Work; 3 Ordinal Logistic Regression (OLR); 3.1 Evaluation; 4 Regression Trees; 5 Algorithm; 6 Experiments; 6.1 Datasets; 6.2 Experimental Setup and Evaluation; 6.3 Results; 6.4 Tree Illustration; 7 Concluding Remarks; References; A Data Mining-Based Framework for Multi-item Markdown Optimization; 1 Introduction; 2 Grouping-Related Items; 2.1 Associated Group Heuristic; 2.2 k-Means Clustering; 2.3 Constrained Clustering.
0
8
8
8
8
SUMMARY OR ABSTRACT
Text of Note
"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"--
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
00024965
Stock Number
9789811300790
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9789811300790
TOPICAL NAME USED AS SUBJECT
Artificial intelligence.
Big data.
Clothing trade-- Data processing.
Fashion design-- Digital techniques.
Fashion merchandising.
Artificial intelligence.
Big data.
Clothing trade-- Data processing.
Fashion design-- Digital techniques.
Fashion merchandising.
TECHNOLOGY & ENGINEERING-- Technical & Manufacturing Industries & Trades.
(SUBJECT CATEGORY (Provisional
KJSM
KJSM
TEC-- 040000
DEWEY DECIMAL CLASSIFICATION
Number
687
.
0285
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
HD9940
.
A2
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Thomassey, Sébastien
Zeng, Xianyi,1963-
ORIGINATING SOURCE
Date of Transaction
20200823223403.0
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
