LEADER 04586nam 22006495 450 001 9910298535203321 005 20200920170828.0 010 $a3-642-39869-3 024 7 $a10.1007/978-3-642-39869-8 035 $a(CKB)3710000000074939 035 $a(EBL)1592467 035 $a(SSID)ssj0001066624 035 $a(PQKBManifestationID)11593804 035 $a(PQKBTitleCode)TC0001066624 035 $a(PQKBWorkID)11068025 035 $a(PQKB)10952157 035 $a(MiAaPQ)EBC1592467 035 $a(DE-He213)978-3-642-39869-8 035 $a(PPN)176113819 035 $a(EXLCZ)993710000000074939 100 $a20131129d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIntelligent Fashion Forecasting Systems: Models and Applications /$fedited by Tsan-Ming Choi, Chi-Leung Hui, Yong Yu 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (199 p.) 300 $aDescription based upon print version of record. 311 $a3-642-39868-5 320 $aIncludes bibliographical references. 327 $aPart I: Introduction, review and exploratory studies -- 1.1 Introduction: Intelligent Fashion Forecasting -- 1.2  Sales forecasting in Apparel and Fashion Industry: a review -- Collaborative Planning Forecasting Replenishment Schemes in Apparel Supply Chain Systems: Cases and Research Opportunities -- Part II: Theoretical modeling research -- 2.1  Measuring Forecasting Accuracy: Problems and Recommendations (by the example of SKU-level judgmental adjustments) -- 2.2 Forecasting Demand for Fashion Goods: A Hierarchical Bayesian Approach -- Forecasting Fashion Store Reservations: Booking Horizon Forecasting with Dynamic Updating -- Part III: Intelligent fashion forecasting: applications and analysis -- 3.1 Fuzzy Forecast Combining for Apparel Demand Forecasting -- 3.2 Intelligent Fashion Colour Trend Forecasting Schemes: A Comparative Study -- 3.3 Neural Networks Based for Romanian Clothing Sector.      . 330 $aForecasting is a crucial function for companies in the fashion industry, but for many real-life forecasting applications, the data patterns are notorious for being highly volatile and it is very difficult, if not impossible, to analytically learn about the underlying patterns. As a result, many traditional methods (such as pure statistical models) will fail to make a sound prediction. Over the past decade, advances in artificial intelligence and computing technologies have provided an alternative way of generating precise and accurate forecasting results for fashion businesses. Despite being an important and timely topic, there is currently an absence of a comprehensive reference source that provides up-to-date theoretical and applied research findings on the subject of intelligent fashion forecasting systems. This three-part handbook fulfills this need and covers materials ranging from introductory studies and technical reviews, theoretical modeling research, to intelligent fashion forecasting applications and analysis. This book is suitable for academic researchers, graduate students, senior undergraduate students and practitioners who are interested in the latest research on fashion forecasting. 606 $aInformation technology 606 $aBusiness?Data processing 606 $aApplication software 606 $aProduction management 606 $aIT in Business$3https://scigraph.springernature.com/ontologies/product-market-codes/522000 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aOperations Management$3https://scigraph.springernature.com/ontologies/product-market-codes/519000 615 0$aInformation technology. 615 0$aBusiness?Data processing. 615 0$aApplication software. 615 0$aProduction management. 615 14$aIT in Business. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aOperations Management. 676 $a003.2 702 $aChoi$b Tsan-Ming$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHui$b Chi-Leung$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYu$b Yong$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910298535203321 996 $aIntelligent Fashion Forecasting Systems: Models and Applications$92505897 997 $aUNINA