Sports Data Mining PDF
By:Robert P. Schumaker,Osama K. Solieman,Hsinchun Chen
Published on 2010-09-10 by Springer Science & Business Media
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.
This Book was ranked at 17 by Google Books for keyword Other Team Sports.
Book ID of Sports Data Mining's Books is r0h2nVGb3qIC, Book which was written byRobert P. Schumaker,Osama K. Solieman,Hsinchun Chenhave ETAG "ND4FWDr8AAI"
Book which was published by Springer Science & Business Media since 2010-09-10 have ISBNs, ISBN 13 Code is 9781441967305 and ISBN 10 Code is 1441967303
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Book which have "138 Pages" is Printed at BOOK under CategoryComputers
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