Sports Data Mining

• Main Authors: Schumaker, Robert P. (Author), Solieman, Osama K. (Author), Chen, Hsinchun. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Boston, MA : Springer US : Imprint: Springer, 2010.
• Series: Integrated Series in Information Systems, 26
• Subjects: Computer science.; Data mining.; Economics > Statistics.; Operations research.; Management information systems.; Computer Science.; Data Mining and Knowledge Discovery.; Business Information Systems.; Operation Research/Decision Theory.; Statistics for Business/Economics/Mathematical Finance/Insurance.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4419-6730-5

Data mining is the process of extracting hidden patterns from data, and its commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis best-selling Moneyball: The Art of Winning An Unfair Game, it has become an intrin...

Table of Contents:

• Chapter 1. Sports Data Mining
• Chapter 2. Sports Data Mining Methodology
• Chapter 3. Data Sources for Sports
• Chapter 4. Research in Sports Statistics
• Chapter 5. Tools and Systems for Sports Data Analysis
• Chapter 6. Predictive Modeling for Sports and Gaming
• Chapter 7. Multimedia and Video Analysis for Sports
• Chapter 8. Web Sports Data Extraction and Visualization
• Chapter 9. Open Source Data Mining Tools for Sports
• Chapter 10. Greyhound Racing Using Neural Networks
• Chapter 11. Greyhound Racing Using Support Vector Machines
• Chapter 12. Betting and Gaming
• Chapter 13. Conclusions.