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Sports Data Mining (Integrated Series in Information Systems)

Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen. Sports Data Mining (Integrated Series in Information Systems) Authors:Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen.
Publisher:
Year:2012
Serie:
Pages:152
Sizes:
Price:14390 rub.
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Book Summary:
Data mining is the process of extracting hidden patterns from data, and ita??s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewisa?? 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 detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and...

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