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Advances in analytics and applications: ICADABAI 2017 conference proceedings

By: Indian Institute of Management Ahmedabad April 8-9, 2017.
Contributor(s): Laha, Arnab Kumar [Editor].
Material type: materialTypeLabelBookSeries: Springer Proceedings in Business and Economics. Publisher: Singapore Springer 2019Description: vi, 297 p.ISBN: 9789811312076.Subject(s): Analytics | International Conference on Advanced Data Analysis, Business Analytics and Intelligence | Conference Proceeding - ICADABAI | Finance Analytics | Predictive Analytics | Human Resource AnalyticsDDC classification: 658.403 Summary: 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. https://www.springer.com/us/book/9789811312076
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Books Vikram Sarabhai Library
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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.

https://www.springer.com/us/book/9789811312076

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