Shulph Ink
Machine Learning and Data Mining for Sports Analytics: 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers
Machine Learning and Data Mining for Sports Analytics: 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers
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- More about Machine Learning and Data Mining for Sports Analytics: 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers
The book summarizes the refereed post-conference proceedings of the 8th International Workshop on Machine Learning and Data Mining for Sports Analytics,MLSA 2021, including 12 full papers and 4 short papers on various sports analytics topics.
Format: Paperback / softback
Length: 205 pages
Publication date: 04 May 2022
Publisher: Springer International Publishing AG
The 8th International Workshop on Machine Learning and Data Mining for Sports Analytics,MLSA 2021, held as a virtual event in September 2021, presented a collection of refereed post-conference proceedings that encompass a diverse range of research and insights into the field of sports analytics. The workshop received a total of 29 submissions, from which 12 full papers and 4 short papers were carefully reviewed and selected.
The papers presented at MLSA 2021 covered a wide array of topics within the realm of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation.
Tactical analysis plays a crucial role in sports analytics, as it involves the study of team strategies, formations, and player movements to gain an advantage over opponents. The papers presented at MLSA 2021 explored various techniques and algorithms for analyzing tactical data, such as machine learning, statistical modeling, and data visualization.
Outcome predictions in sports analytics involve the use of machine learning and statistical modeling to predict the outcomes of sporting events. The papers presented at MLSA 2021 discussed various approaches for predicting outcomes, such as regression analysis, decision trees, and neural networks.
Data acquisition in sports analytics refers to the process of collecting and storing data related to sports performances and events. The papers presented at MLSA 2021 explored innovative methods for acquiring data, such as wearable technology, video analysis, and social media analytics.
Performance optimization in sports analytics involves the use of machine learning and statistical modeling to improve the performance of athletes and teams. The papers presented at MLSA 2021 discussed various techniques for optimizing performance, such as training regimen design, talent identification, and performance monitoring.
Player evaluation in sports analytics involves the use of machine learning and statistical modeling to assess the performance and potential of athletes. The papers presented at MLSA 2021 discussed various methods for evaluating players, such as performance metrics, game analysis, and player profiling.
In conclusion, the 8th International Workshop on Machine Learning and Data Mining for Sports Analytics,MLSA 2021, provided a platform for researchers and practitioners to exchange ideas and share their expertise in sports analytics. The papers presented at the workshop covered a wide range of topics and demonstrated the latest advancements in the field. The insights and methodologies presented at MLSA 2021 will undoubtedly contribute to the development of sports analytics and its applications in various sports industries.
Weight: 338g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031020438
Edition number: 1st ed. 2022
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