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Data Mining and Machine Learning in Sports

Overview of attention for book
Cover of 'Data Mining and Machine Learning in Sports'

Table of Contents

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    Book Overview
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    Chapter 1 Recent Advancements in Data Mining and Machine Learning Applications in Evaluating Goalkeepers’ Performances in Elite Football
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    Chapter 2 The Influence of Anthropometrics on Goalkeepers’ Penalty-Saving Performance in Elite European Football
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    Chapter 3 The Relationship Between Anthropometrics Parameters and Clean Sheets of Goalkeepers in Elite European Football
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    Chapter 4 A Machine Learning Analysis of Technical Skills and Tactical Awareness as Performance Predictors for Goalkeepers in European Football League
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    Chapter 5 An Unsupervised Analysis of Identifying Key Technical and Tactical Skills Awareness Among Top European Goalkeepers
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    Chapter 6 Identification of Dominant Types of Shots Received and Saves Among Top European Goalkeepers: A Significant Attribute Evaluation Technique
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    Chapter 7 Evaluation of Goalkeepers’ Goals Conceptions from Different Saves and Shots Indicators
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    Chapter 8 Summary, Conclusion, Current Status, and Future Direction for Goalkeeper’s Performance in European Football Leagues
Attention for Chapter 8: Summary, Conclusion, Current Status, and Future Direction for Goalkeeper’s Performance in European Football Leagues
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Readers on

mendeley
4 Mendeley
Summary
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Chapter title
Summary, Conclusion, Current Status, and Future Direction for Goalkeeper’s Performance in European Football Leagues
Chapter number 8
Book title
Data Mining and Machine Learning in Sports
Published in
SpringerBriefs in Applied Sciences and Technology, January 2024
DOI 10.1007/978-981-99-7762-8_8
Book ISBNs
978-9-81-997761-1, 978-9-81-997762-8
Authors

Musa, Rabiu Muazu, Majeed, Anwar P. P. Abdul, Ab Rasid, Aina Munirah, Abdullah, Mohamad Razali

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 50%
Student > Bachelor 1 25%
Unknown 1 25%
Readers by discipline Count As %
Unspecified 2 50%
Engineering 1 25%
Unknown 1 25%

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