Advances in analytics and applications
著者
書誌事項
Advances in analytics and applications
（Springer proceedings in business and economics）
Springer, c2019
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注記
"ICADABAI-2017 was the fifth edition in this series of conferences."--Preface
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
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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