A game-predicting expert system using big data and machine learning
作者：
Highlights：
• Develop composite rankings for players and teams.
• Design and complete a system for answering managerial questions about hockey games.
• Rate players by integrating 18 performance metrics through statistical methods.
• Rate teams by combining 26 team performance metrics.
• Predict hockey games through big data and ensemble methods in machine learning.
摘要
•Develop composite rankings for players and teams.•Design and complete a system for answering managerial questions about hockey games.•Rate players by integrating 18 performance metrics through statistical methods.•Rate teams by combining 26 team performance metrics.•Predict hockey games through big data and ensemble methods in machine learning.
论文关键词：Expert system,Decision-making,Big data,Machine learning,Ice hockey
论文评审过程：Received 14 September 2018, Revised 29 March 2019, Accepted 11 April 2019, Available online 12 April 2019, Version of Record 30 April 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.04.025
