Advances in analytics and applications

Author(s)

    • Laha, Arnab Kumar
    • International Conference on Advanced Data Analysis, Business Analytics and Intelligence

Bibliographic Information

Advances in analytics and applications

Arnab Kumar Laha, editor

(Springer proceedings in business and economics)

Springer, c2019

Available at  / 1 libraries

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Note

"ICADABAI-2017 was the fifth edition in this series of conferences."--Preface

Includes bibliographical references

Description and Table of Contents

Description

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.

Table of Contents

PART I: Overviews 1. Machine Learning 2. Regression Methods 3. Functional Data Analysis 4. Directional Data Analysis 5. Branching Processes PART II: PREDICTIVE ANALYTICS APPLICATIONS 6. Click-Through Rate Estimation using CHAID Classification Tree Model 7. Predicting Success Probability in Professional Tennis Tournaments: Using a Logistic Regression Model 8. Hausdorff Path Clustering and Hidden Markov Model Applied to Person Movement Prediction in Retail Spaces 9. Improving Email Marketing Campaign Success Rate Using Personalization 10. Predicting Customer Churn for DTH: Building Churn Score Card for DTH 11. Applying Predictive Analytics in a Continuous Process Industry PART III: MACHINE LEARNING APPLICATIONS 12. Automatic Detection of Tuberculosis using Deep Learning Methods 13. Connected Cars and Driving Pattern: An Analytical Approach to Risk Based Insurance 14. Hybrid Machine Learning and Cognitive approach using Telematics and IoT for Tackling Downtime of Commercial Vehicles and Taxis PART IV: HUMAN RESOURCE ANALYTICS 15. Analytics-led Talent Acquisition for Improving Efficiency and Effectiveness 16. Assessing Student Employability to Help Recruiters Find the Right Candidates PART V : OPERATIONS ANALYTICS 17. Innovative Heuristics Modeling for Dynamic Project Cost Optimization 18. Estimation of Fluid Flow Rate and Mixture Composition using Low Cost Acoustic Sensors for Application in the Oil and Gas Industry PART VI: ANALYTICS IN FINANCE 19. Loan Loss Provisioning Practices in Indian Banks 20. Modeling Leptokurtic Return Distributions in Commodity Markets PART VII : METHODOLOGY 21. OLS: Is That So Useless for Regression with Categorical Data? 22. Estimation of Parameters of Misclassified Size Biased Borel 23. A Stochastic Feedback Queuing Model with Encouraged Arrivals and Retention of Impatient Customers PART VIII: ECONOMETRIC APPLICATIONS 24. Does Banking Competition Granger Cause Banking Stability: The Study of SEM Countries 25. The Relationship Between Insurance and Economic Growth in India: A Cross-region Study Using an Econometric Approach

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