LEADER 00910nam0-2200313---450- 001 990009399050403321 005 20110715140603.0 010 $a9789251055717 035 $a000939905 035 $aFED01000939905 035 $a(Aleph)000939905FED01 035 $a000939905 100 $a20110715d2006----km-y0itay50------ba 101 0 $aeng 102 $aIT 105 $aa-------001yy 200 1 $aLivestock?s long shadow$eenvironmental issues and options$fHenning Steinfeld ... [et al.] 210 $aRome$cFood and agriculture organization of the United Nations$dc2006 215 $axxiv, 390 p.$cill.$d25 cm 610 0 $aBestiame$aAspetti ambientali 676 $a333.74$v22$zita 702 1$aSteinfeld,$bHenning 712 02$aFAO 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009399050403321 952 $a60 333.74 B 1$b12963$fFAGBC 959 $aFAGBC 997 $aUNINA LEADER 03718nam 22005175 450 001 9910350214203321 005 20180909021039.0 010 $a981-13-1208-7 024 7 $a10.1007/978-981-13-1208-3 035 $a(CKB)4100000006519773 035 $a(MiAaPQ)EBC5510535 035 $a(DE-He213)978-981-13-1208-3 035 $a(EXLCZ)994100000006519773 100 $a20180907d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Analytics and Applications$b[electronic resource] /$fedited by Arnab Kumar Laha 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (289 pages) 225 1 $aSpringer Proceedings in Business and Economics,$x2198-7246 311 $a981-13-1207-9 327 $aPart I: Overviews -- Chapter 1. Machine Learning -- Chapter 2. Regression Methods -- Chapter 3. Functional Data Analysis -- Chapter 4. Directional Data Analysis -- Chapter 5.Branching Processes -- Part II: Predictive Analysis Applications -- Chapter 6. Click-Through Rate Estimation using CHAID Classification Tree Model -- Chapter 7 . Predicting Success Probability in Professional Tennis Tournaments: Using a Logistic Regression Model -- Chapter 8. Hausdorff Path Clustering and Hidden Markov Model Applied to Person Movement Prediction in Retail Spaces -- Chapter 9. Improving Email Marketing Campaign Success Rate Using Personalization -- etc. 330 $aThis book includes selected papers submitted to the ICADABAI-2017 conference, offering an overview of the new methodologies and presenting innovative applications that are of interest to both academicians and practitioners working in the area of analytics. It discusses predictive analytics applications, machine learning applications, human resource analytics, operations analytics, analytics in finance, methodology and econometric applications. The papers in the predictive analytics applications section discuss web analytics, email marketing, customer churn prediction, retail analytics and sports analytics. The section on machine learning applications then examines healthcare analytics, insurance analytics and machine analytics using different innovative machine learning techniques. Human resource analytics addresses important issues relating to talent acquisition and employability using analytics, while a paper in the section on operations analytics describe an innovative application in oil and gas industry. The papers in the analytics in finance part discuss the use of analytical tools in banking and commodity markets, and lastly the econometric applications part presents interesting banking and insurance applications. 410 0$aSpringer Proceedings in Business and Economics,$x2198-7246 606 $aBig data 606 $aBusiness enterprises-Finance 606 $aManagement 606 $aBig Data/Analytics$3http://scigraph.springernature.com/things/product-market-codes/522070 606 $aBusiness Finance$3http://scigraph.springernature.com/things/product-market-codes/512000 606 $aManagement$3http://scigraph.springernature.com/things/product-market-codes/515000 615 0$aBig data. 615 0$aBusiness enterprises-Finance. 615 0$aManagement. 615 14$aBig Data/Analytics. 615 24$aBusiness Finance. 615 24$aManagement. 676 $a519.5 702 $aLaha$b Arnab Kumar$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910350214203321 996 $aAdvances in Analytics and Applications$91951197 997 $aUNINA