LEADER 01481nam 2200373Ia 450 001 996394347103316 005 20200824121719.0 035 $a(CKB)4940000000115335 035 $a(EEBO)2248512456 035 $a(UnM)99898438e 035 $a(UnM)99898438 035 $a(EXLCZ)994940000000115335 100 $a19990202d1558 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 14$aThe ground of artes$b[electronic resource] $eteaching the woorke and practise of arithmetike, both in whole numbres and fractions, after a more easyer and exacter sorte than any lyke hath hytherto beene set forth: with diuers new additions. Made by M. Roberte Recorde Doctor of Physike 210 $a[Imprinted at London $cin Paules churchyard at the signe of the Brazen Serpent by Reginalde VVolfe$danno Domini M. D. LVIII. [1558]] 215 $a[414] p. $cill 300 $aImprint from colophon. 300 $aSignatures: A b B-2B(-2B8). 300 $aReproduction of original in the Columbia University Library, New York, New York. 330 $aeebo-0027 606 $aArithmetic$xStudy and teaching$vEarly works to 1800 606 $aEducation$vEarly works to 1800 615 0$aArithmetic$xStudy and teaching 615 0$aEducation 700 $aRecord$b Robert$f1510?-1558.$01003280 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bWaOLN 906 $aBOOK 912 $a996394347103316 996 $aThe ground of artes$92360985 997 $aUNISA LEADER 03709nam 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 $aMarketing 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$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aMarketing 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