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Machine Learning and Data Mining for Sports Analytics
$18.63
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- This book constitutes the thoroughly refereed post-workshop proceedings of the 8th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2021, held virtually in September 2021.
- The 15 full papers and 3 short papers presented were carefully reviewed and selected from 34 submissions.
- The papers cover a wide range of topics in the areas of machine learning and data mining for sports analytics, including prediction, classification, clustering, anomaly detection, and forecasting.
- The workshop was organized by the Machine Learning and Data Mining for Sports Analytics (MLSA) research group, which is a part of the IEEE Computational Intelligence Society.
- The MLSA group is dedicated to promoting the use of machine learning and data mining techniques in the analysis of sports data.
- The workshop provided a forum for researchers and practitioners to share their latest research findings and discuss the challenges and opportunities in the field of sports analytics.
- The papers in this volume provide a valuable resource for researchers and practitioners in the field of sports analytics.
- They offer a comprehensive overview of the latest research in the field and provide insights into the potential of machine learning and data mining techniques for improving the performance of athletes and teams.
Condition: New original from publisher
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