Machine Learning And Data Mining For Sports Analytics
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Machine Learning And Data Mining For Sports Analytics
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Author : Ulf Brefeld
language : en
Publisher: Springer Nature
Release Date : 2024-02-25
Machine Learning And Data Mining For Sports Analytics written by Ulf Brefeld and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-25 with Computers categories.
This book constitutes the refereed proceedings of the 10th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2023, held in Turin, Italy, in September 2023. The 16 full papers included in this book were carefully reviewed and selected from 31 submissions. They were organized in topical sections as follows: Football/Soccer, Basketball, Other team sports, Individual sports.
Machine Learning And Data Mining For Sports Analytics
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Author : Ulf Brefeld
language : en
Publisher: Springer
Release Date : 2019-04-06
Machine Learning And Data Mining For Sports Analytics written by Ulf Brefeld and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-06 with Computers categories.
This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.
Machine Learning And Data Mining For Sports Analytics
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Author : Ulf Brefeld
language : en
Publisher: Springer Nature
Release Date : 2025-03-25
Machine Learning And Data Mining For Sports Analytics written by Ulf Brefeld and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-25 with Computers categories.
This book constitutes the refereed proceedings of the 11th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2024, held in Vilnius, Lithuania, on September 9, 2024. The 9 full papers presented in this volume were carefully reviewed and selected from 21 submissions. They are grouped into the following topics: Individual sports; Basketball; Soccer; Other team sports/e-Sports.
Machine Learning And Data Mining For Sports Analytics
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Author : Ulf Brefeld
language : en
Publisher: Springer Nature
Release Date : 2023-02-24
Machine Learning And Data Mining For Sports Analytics written by Ulf Brefeld and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-24 with Computers categories.
This book constitutes the refereed proceedings of the 9th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2022, held in Grenoble, France, during September 19, 2022. The 10 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections as follows: Football, Racket sports, Cycling.
Machine Learning And Data Mining For Sports Analytics
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Author : Ulf Brefeld
language : en
Publisher: Springer Nature
Release Date : 2022-05-03
Machine Learning And Data Mining For Sports Analytics written by Ulf Brefeld and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-03 with Computers categories.
This book constitutes the refereed post-conference proceedings of the 8th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2021, held as virtual event in September 2021. The 12 full papers and 4 short papers presented were carefully reviewed and selected from 29 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation.
Machine Learning And Data Mining For Sports Analytics
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Author : Ulf Brefeld
language : en
Publisher: Springer Nature
Release Date : 2020-12-09
Machine Learning And Data Mining For Sports Analytics written by Ulf Brefeld and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-09 with Computers categories.
This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020. Due to the COVID-19 pandemic the conference was held online. The 11 papers presented were carefully reviewed and selected from 22 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation.
Ai And Machine Learning Applications In Sports Analytics
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Author : Choudhury, Tanupriya
language : en
Publisher: IGI Global
Release Date : 2025-05-13
Ai And Machine Learning Applications In Sports Analytics written by Choudhury, Tanupriya and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-13 with Computers categories.
Artificial intelligence (AI) and machine learning (ML) revolutionize sports by transforming how teams, coaches, and analysts understand and optimize performance. These technologies enable the collection, processing, and interpretation of data, ranging from player biometrics and in-game statistics to video footage and fan engagement metrics. By uncovering patterns and insights that are difficult to detect manually, AI and ML improve game strategies, prevent injuries, scout talent, and enhance the overall spectator experience. As the sports industry embraces data-driven decision-making, the role of AI and ML in sports analytics continues to grow. AI and Machine Learning Applications in Sports Analytics explores the possibilities offered by AI and ML within the realm of sports analytics. It examines various applications of these technologies, including player performance analysis, game strategy optimization, injury prediction, talent scouting, and fan engagement. This book covers topics such as sports science, neural networks, and data analytics, and is a useful resource for sports professionals, medical and healthcare workers, coaches, engineers, academicians, researchers, and data scientists.
Sports Analytics
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Author : A Mansurali
language : en
Publisher: Springer
Release Date : 2024-09-25
Sports Analytics written by A Mansurali and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-25 with Technology & Engineering categories.
This book allows readers embark on a journey through the exhilarating world of sports enhanced by the power of data-driven insights. From the nail-biting moments on the field to the strategic decisions behind the scenes, this comprehensive guide unveils the secrets that propel teams to victory and champions to greatness. The authors explore the cutting-edge techniques and methodologies that revolutionize the way we understand and analyze sports performance. From player evaluations to game strategies, injury prevention to fan engagement, this book equips you with the tools to gain a competitive edge in any sport. Whether you're a coach, player, analyst, or simply a passionate fan, this book will change the way you see the game. The book details how to use analytics and machine learning to highlight key performance indicators (KPIs) of sports for analysis. The authors show how to apply various statistical techniques, machine learning and data mining algorithms for on-field and off-field analysis. They go on to show how analytical algorithms are used in the sports ecosystem to derive solutions for the team and leadership, helping team managers and coaches to monitor games and player information through dashboards. The book then shows how to deploy machine learning algorithms for validating and improving teams and players performance. The book is relevant to professionals and academics working in machine learning and data analysis related to sports.
Sports Data Mining
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Author : Robert P. Schumaker
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-10
Sports Data Mining written by Robert P. Schumaker and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-10 with Computers categories.
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.
Artificial Intelligence And Machine Learning In Sports Science
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Author : Daniel Memmert
language : en
Publisher: Springer Nature
Release Date : 2025-08-22
Artificial Intelligence And Machine Learning In Sports Science written by Daniel Memmert and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-22 with Sports & Recreation categories.
This professional book is one of the first book publications providing a comprehensive overview of how artificial intelligence (AI) and machine learning (ML) are used in the context of sports science research and sports practice. In addition to the basics of AI and ML, various applications are described, including self-learning algorithms for analyzing athletes' movement patterns and intelligent wearables that provide real-time data. By integrating big data, game results, fitness parameters and individual performance can be analyzed in detail, leading to new developments in research. There are many opportunities for future research activities, e.g. performance analysis to prevent injuries and personalized training methods. More than 25 experts help to cover a wide range of topics related to AI and ML and concisely summarize the latest state of research. Various topics are clustered in overarching book sections, including general basics, metrics in team sports, metrics in individual sports and applications in sports science. An outlook also addresses ethical issues concerning the use of AI and ML in sport and their responsible application. Overall, professionals and researchers in the fields of sports informatics, sports technology, exercise science and sports medicine are provided with a comprehensive reference work with practical examples of an innovative field of research.