Sports Data Mining

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9781441967299: Sports Data Mining
Biographie de l'auteur :

Dr. Robert Schumaker is an Assistant Professor in Information Systems at Iona College. Rob's overall research interests involve the uses of technology to acquire, deliver and make predictions in a variety of Business-related environments. These interests further branch into computer mediated communications, design science, human computer interfaces, machine learning algorithms, natural language processing, technology acceptance models and textual data mining. His recent research has focused on Sports Knowledge Management and Data Mining of relevant data from Sports-related databases and producing accurate predictions that can provide an edge to sports organizations and gamblers alike. Using the Moneyball style philosophy, this project analyzes the use of different machine learning techniques to predict outcomes of sporting events. He has authored or co-authored many journal articles, including ACM Transactions on Information Systems, Decision Support Systems, IEEE Systems, Man and Cybernetics - Part A and Communications of the ACM. Osama K. Solieman attended the University of Arizona graduating with a BS in Computer Science in 2003. In 2006, he received a MS in Management Information Systems where he was also the lead researcher on a database project for the Department of Electrical & Computer Engineering. Currently, he is an IT Consultant regularly working with Fortune 500 companies and traveling extensively around the world. He remains an avid sports fan and is active in his community. Hsinchun Chen is McClelland Professor of Management Information Systems (MIS) at the Eller College of the University of Arizona and Andersen Consulting Professor of the Year (1999). He is the author of 15 books and more than 200 articles covering knowledge management, digital library, homeland security, Web computing, and biomedical informatics in leading information technology publications. He serves on ten editorial boards, incl

Présentation de l'éditeur :

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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Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
Edité par Springer-Verlag New York Inc. 2010-09-30, New York, NY (2010)
ISBN 10 : 144196729X ISBN 13 : 9781441967299
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Description du livre Springer-Verlag New York Inc. 2010-09-30, New York, NY, 2010. hardback. État : New. N° de réf. du libraire 9781441967299

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Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
Edité par Springer-Verlag New York Inc., United States (2010)
ISBN 10 : 144196729X ISBN 13 : 9781441967299
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Description du livre Springer-Verlag New York Inc., United States, 2010. Hardback. État : New. 234 x 160 mm. Language: English . Brand New Book. 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. N° de réf. du libraire AAZ9781441967299

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Robert P. Schumaker
Edité par Springer-Verlag New York Inc. (2010)
ISBN 10 : 144196729X ISBN 13 : 9781441967299
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Description du livre Springer-Verlag New York Inc., 2010. HRD. État : New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. N° de réf. du libraire GB-9781441967299

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Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
Edité par Springer-Verlag New York Inc., United States (2010)
ISBN 10 : 144196729X ISBN 13 : 9781441967299
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Description du livre Springer-Verlag New York Inc., United States, 2010. Hardback. État : New. 234 x 160 mm. Language: English . Brand New Book. 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. N° de réf. du libraire AAZ9781441967299

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Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
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ISBN 10 : 144196729X ISBN 13 : 9781441967299
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Description du livre Springer-Verlag New York Inc. Hardback. État : new. BRAND NEW, Sports Data Mining, Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen, 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. N° de réf. du libraire B9781441967299

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Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen
Edité par Springer (2010)
ISBN 10 : 144196729X ISBN 13 : 9781441967299
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Description du livre Springer, 2010. Hardcover. État : New. 2010. This item is printed on demand. N° de réf. du libraire DADAX144196729X

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Schumaker, Robert P.; Solieman, Osama K.; Chen, Hsinchun
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ISBN 10 : 144196729X ISBN 13 : 9781441967299
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Description du livre Springer-Verlag New York Inc., 2010. État : New. 2010. 2010th Edition. Hardcover. From baseball to greyhound racing and beyond, Sports Data Mining presents the latest research, developments, software and applications for data mining in sports. The text examines hidden patterns in gaming and wagering, along with the most common systems for wager analysis. Series: Integrated Series in Information Systems. Num Pages: 138 pages, 4 black & white tables, biography. BIC Classification: KJQ; KJT; UNF. Category: (P) Professional & Vocational. Dimension: 245 x 161 x 14. Weight in Grams: 364. . . . . . . N° de réf. du libraire V9781441967299

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Robert P. Schumaker, Osama K. Solieman, Hsinchun Chen,
ISBN 10 : 144196729X ISBN 13 : 9781441967299
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Description du livre Hardback. État : New. Not Signed; 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 int. book. N° de réf. du libraire ria9781441967299_rkm

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Hsinchun Chen; Osama K. Solieman; Robert P. Schumaker
ISBN 10 : 144196729X ISBN 13 : 9781441967299
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Description du livre État : New. Depending on your location, this item may ship from the US or UK. N° de réf. du libraire 97814419672990000000

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Schumaker, Robert P.; Solieman, Osama K.; Chen, Hsinchun
Edité par Springer-Verlag New York Inc.
ISBN 10 : 144196729X ISBN 13 : 9781441967299
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Description du livre Springer-Verlag New York Inc. État : New. 2010. 2010th Edition. Hardcover. From baseball to greyhound racing and beyond, Sports Data Mining presents the latest research, developments, software and applications for data mining in sports. The text examines hidden patterns in gaming and wagering, along with the most common systems for wager analysis. Series: Integrated Series in Information Systems. Num Pages: 138 pages, 4 black & white tables, biography. BIC Classification: KJQ; KJT; UNF. Category: (P) Professional & Vocational. Dimension: 245 x 161 x 14. Weight in Grams: 364. . . . . . Books ship from the US and Ireland. N° de réf. du libraire V9781441967299

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