Use of Machine Learning to Automate the Identification of Basketball Strategies Using Whole Team Player Tracking Data

The use of machine learning to identify and classify offensive and defensive strategies in team sports through spatio-temporal tracking data has received significant interest recently in the literature and the global sport industry. This paper focuses on data-driven defensive strategy learning in ba...

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Bibliographic Details
Main Authors: Changjia Tian, Varuna De-Silva, Michael Caine, Steve Swanson
Format: Default Article
Published: 2019
Subjects:
sports analytics
basketball
data-driven strategy learning
multi-agent systems
Online Access:https://hdl.handle.net/2134/11828286.v1
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