Overview:Sports Data Mining - Integrated Series in Information Systems 26 - 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 is on page /88f0ff300130a9332bf7ee8997e69000/book/1603728589-9781441967299. It was written by the following authors: Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen. Book Sports Data Mining - Integrated Series in Information Systems 26, which can be read online, published by the company: Springer-Verlag New York Inc.. Other books on similar topics can be found in sections: Business, Law, Internet, Computing, Finance. The book was published on 2010-09-30 00:00:00. It has 138 pages and is published in Hardback format and weight 393 g. File for download Sports Data Mining - Integrated Series in Information Systems 26 has PDF format and is called sports-data-mining-integrated-series-in-information-systems-26.pdf. Other books you can download below. Our nottedeiricercatoriaq.it site is not responsible for the content of PDF files.
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