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Book Cover
Book
Author Schumaker, Robert P.

Title Sports data mining / Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
Published New York : Springer, [2010]
New York : Springer, 2010
©2010
©2010

Copies

Location Call no. Vol. Availability
 MELB  006.312 Sch/Sdm  AVAILABLE
Description xiv, 136 pages : illustrations ; 24 cm
Series Integrated series in information systems ; volume 26
Integrated series in information systems ; volume 26
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.
Sports -- Data processing.
Sports -- Research.
Sports -- Statistics.
Author Chen, Hsinchun.
Solieman, Osama K.
LC no. 2010933519
ISBN 9781441967299