LEADER 03703nam 22005895 450 001 9910349478503321 005 20200702071940.0 010 $a9789811300806 010 $a981-13-0080-1 024 7 $a10.1007/978-981-13-0080-6 035 $a(CKB)4100000008525603 035 $a(MiAaPQ)EBC5396670 035 $a(DE-He213)978-981-13-0080-6 035 $a(PPN)227399439 035 $a(EXLCZ)994100000008525603 100 $a20180516d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence for Fashion Industry in the Big Data Era /$fedited by Sébastien Thomassey, Xianyi Zeng 205 $a1st ed. 2018. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018. 215 $a1 online resource (288 pages) 225 1 $aSpringer Series in Fashion Business,$x2366-8776 311 $a981-13-0079-8 327 $aAI 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. 330 $aThis book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion industry (design, manufacturing, supply or retailing), before moving on to illustrate its implementation in a real-world application. 410 0$aSpringer Series in Fashion Business,$x2366-8776 606 $aMarket research 606 $aTextile industry 606 $aArtificial intelligence 606 $aMarket Research/Competitive Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/513030 606 $aTextile Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/C24000 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aMarket research. 615 0$aTextile industry. 615 0$aArtificial intelligence. 615 14$aMarket Research/Competitive Intelligence. 615 24$aTextile Engineering. 615 24$aArtificial Intelligence. 676 $a687.0285 702 $aThomassey$b Sébastien$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZeng$b Xianyi$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349478503321 996 $aArtificial Intelligence for Fashion Industry in the Big Data Era$92513533 997 $aUNINA