Sports Data Mining is popular PDF and ePub book, written by Robert P. Schumaker in 2010-09-10, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Sports Data Mining can be Read Online from any device for your convenience.
Sports Data Mining Book PDF 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 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 applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.
Detail Book of Sports Data Mining PDF
- Author : Robert P. Schumaker
- Release : 10 September 2010
- Publisher : Springer Science & Business Media
- ISBN : 9781441967305
- Genre : Computers
- Total Page : 144 pages
- Language : English
- PDF File Size : 11,9 Mb
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