Description |
xiv, 136 pages : illustrations ; 24 cm |
Series |
Integrated series in information systems ; volume 26 |
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Integrated series in information systems ; volume 26
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Contents |
1. Sports data mining: the field -- 2. Sports data mining methodology -- 3. Data sources for sports -- 4. Research in sports statistics -- 5. Tools and systems for sports data analysis -- 6. Predictive modeling for sports and gaming -- 7. Multimedia and video analysis for sports -- 8. Web sports data extraction and visualization -- 9. Open source data mining tools for sports -- 10. Greyhound racing using neural networks: a case study -- 11. Greyhound racing using support vector machines: a case study -- 12. Betting and gaming -- 13. Conclusions |
Summary |
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 is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detai |
Bibliography |
Includes bibliographical references (pages 119-125) and index |
Subject |
Data mining.
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Sports -- Data processing.
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Sports -- Research.
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Sports -- Statistics.
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Author |
Chen, Hsinchun.
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Solieman, Osama K.
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LC no. |
2010933519 |
ISBN |
9781441967299 |
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