Advances in Analytics and Applications

Softcover Nachdruck of the original 1. Auflage 2019
ISBN: 978-981-13-4584-5
Verlag: Springer Nature Singapore

Buch, Englisch, 297 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 476 g

Reihe: Springer Proceedings in Business and Economics

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.

Zielgruppe

Research

Autoren/Hrsg.

Laha, Arnab Kumar

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Wirtschaftswissenschaften Betriebswirtschaft Management
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensfinanzen

Inhaltsverzeichnis

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.

Über Autor(innen)

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.