Advances in Analytics and Applications - Brossura

Brossura

ISBN 10: 9811345848 ISBN 13: 9789811345845

Casa editrice: Springer, 2019

Riassunto

Discusses innovative applications of analytics in business and introduces to new emerging areas of research in data analysis

Provides overviews on topics of current interest - machine learning, functional data analysis, regression analysis, directional data analysis and branching processes

Academic research papers in analytics and business intelligence

Su questo libro

Informazioni sull'autore

Prof. Arnab K Laha takes keen interest in understanding how analytics, machine learning and artificial intelligence can be leveraged to solve complex problems of business and society.  His areas of research and teaching interest include Advanced Data Analytics, Quality Management and Risk Modeling.  He has published papers in national and international journals of repute in these areas and has served on the editorial board of several journals including Statistical Analysis and Data Mining: The ASA Data Science Journal. He was featured among India’s best business school professors by Business Today in 2006 and Business India in 2012 and was named as one of the “10 Most Prominent Analytics Academicians in India” by Analytics India Magazine in 2014 and 2017. He is the convener of the biennial IIMA series of conferences on Advanced Data Analysis, Business Analytics and Intelligence. He is the author of the popular book on analytics entitled "How to Make the Right Decision" published by Penguin-Random House.  He has conducted large number of training programmes and undertaken consultancy work in the fields of business analytics, quality management and risk management.

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 9811345848
• ISBN 13: 9789811345845
• Rilegatura: Copertina flessibile
• Numero di pagine: 312
• Redattore: Laha Arnab Kumar
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania