Sports analytics — Evaluation of basketball players and team performance

作者：

Highlights：

• Evaluation of Data Mining algorithms and techniques used on Sports Analytics.

• Evaluate, use and benchmark existing performance basketball analytics.

• Analyze the strategy and decisions for team composition for team improvement.

• Identify game strengths and weaknesses for better decisions in short or long term.

• Case study analysis based on most important basketball performance analytics.

摘要

•Evaluation of Data Mining algorithms and techniques used on Sports Analytics.•Evaluate, use and benchmark existing performance basketball analytics.•Analyze the strategy and decisions for team composition for team improvement.•Identify game strengths and weaknesses for better decisions in short or long term.•Case study analysis based on most important basketball performance analytics.

论文关键词：Sports Data Mining (DM),Sports analytics,Data analysis,Business intelligence,Statistics,Machine learning

论文评审过程：Received 20 February 2020, Revised 19 May 2020, Accepted 20 May 2020, Available online 23 May 2020, Version of Record 28 May 2020.

论文官网地址：https://doi.org/10.1016/j.is.2020.101562