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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