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Sports Data Mining

Language EnglishEnglish
Book Hardback
Book Sports Data Mining Robert P. Schumaker
Libristo code: 01424048
Publishers Springer-Verlag New York Inc., September 2010
Data mining is the process of extracting hidden patterns from data, and it s commonly used in busine... Full description
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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.

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About the book

Full name Sports Data Mining
Author Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
Language English
Binding Book - Hardback
Date of issue 2010
Number of pages 138
EAN 9781441967299
ISBN 144196729X
Libristo code 01424048
Publishers Springer-Verlag New York Inc.
Weight 364
Dimensions 161 x 245 x 14

Categories

Economics, Finance, Business & Management > Business & Management > Management & management techniques > Management decision making
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Economics, Finance, Business & Management > Business & Management > Business mathematics & systems
Economics, Finance, Business & Management > Business & Management > Operational research
Mathematics & Science > Mathematics > Probability & statistics
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Business applications
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