03718nam 22005175 450 991035021420332120180909021039.0981-13-1208-710.1007/978-981-13-1208-3(CKB)4100000006519773(MiAaPQ)EBC5510535(DE-He213)978-981-13-1208-3(EXLCZ)99410000000651977320180907d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Analytics and Applications[electronic resource] /edited by Arnab Kumar Laha1st ed. 2019.Singapore :Springer Singapore :Imprint: Springer,2019.1 online resource (289 pages)Springer Proceedings in Business and Economics,2198-7246981-13-1207-9 Part 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.This 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.Springer Proceedings in Business and Economics,2198-7246Big dataBusiness enterprises-FinanceManagementBig Data/Analyticshttp://scigraph.springernature.com/things/product-market-codes/522070Business Financehttp://scigraph.springernature.com/things/product-market-codes/512000Managementhttp://scigraph.springernature.com/things/product-market-codes/515000Big data.Business enterprises-Finance.Management.Big Data/Analytics.Business Finance.Management.519.5Laha Arnab Kumaredthttp://id.loc.gov/vocabulary/relators/edtBOOK9910350214203321Advances in Analytics and Applications1951197UNINA