Contemporary Perspectives in Data Mining, Volume 3 (hc)

ISBN-13: 9781641130554 / Angielski / Twarda / 2017 / 170 str.

Kenneth D. Lawrence;Ronald K. Klimberg

Spis treści

• SECTION I: PREDICTIVE ANALYTICS. Bootstrap Aggregation for Neural Network Forecasting of Supply Chain Order Quantity
• Combining Retrospective and Predictive Analytics for More Robust Decision Support
• Predictive Analytical Model of the CEO Compensation of Major U.S. Corporate Insurance Companies
• SECTION II: BUSINESS APPLICATIONS.
• Analyzing Operational and Financial Performance of U.S. Hospitals Using Two-Stage Production Process
• Digital Disruption: How E-Commerce Is Changing the Grocery Game
• The Hazards of Subgroup Analysis in Randomized Business Experiments and How to Avoid Them
• Business Intelligence Challenges for Small and Medium-Sized Business: Leveraging Existing Resources
• SECTION III: TOPICS IN DATA MINING. Data Mining Techniques Applied to Outcome Analysis and Validation for the Futures Drug and Alcohol Rehabilitation Center
• An Extended H-Index: A New Method to Evaluate Scientists’ Impact
• Why We Need Analytics Grand Rounds
• About the Editors.