Sports Data Mining [E-Book] / by Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen.
Data mining is the process of extracting hidden patterns from data, and it’s 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...
Saved in:
|
Full text |
|
| Personal Name(s): | Schumaker, Robert P., author |
| Chen, Hsinchun, author / Solieman, Osama K., author | |
| Imprint: |
Boston, MA :
Springer,
2010
|
| Physical Description: |
XIV, 138 p. online resource. |
| Note: |
englisch |
| ISBN: |
9781441967305 |
| DOI: |
10.1007/978-1-4419-6730-5 |
| Series Title: |
Integrated Series in Information Systems ;
26 |
| Subject (LOC): |
- Sports Data Mining: The Field
- Sports Data Mining Methodology
- Data Sources for Sports
- Research in Sports Statistics
- Tools and Systems for Sports Data Analysis
- Predictive Modeling for Sports and Gaming
- Multimedia and Video Analysis for Sports
- Web Sports Data Extraction and Visualization
- Open Source Data Mining Tools for Sports
- Greyhound Racing Using Neural Networks: A Case Study
- Greyhound Racing Using Support Vector Machines: A Case Study
- Betting and Gaming
- Conclusions.