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Books > Business & Economics > Business & management > Management & management techniques > Operational research
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Sports Data Mining (Paperback, 2010 ed.)
Loot Price: R2,912
Discovery Miles 29 120
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Sports Data Mining (Paperback, 2010 ed.)
Series: Integrated Series in Information Systems, 26
Expected to ship within 10 - 15 working days
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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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