Towards smart-data: Improving predictive accuracy in long-term football team performance
作者：
Highlights：
• Illustrates the reasoning towards a Smart-Data approach.
• Towards Smart-Data which aims to improve the quality of a dataset.
• How Smart-Data is used to predict changes in long-term football team performance.
• Provides a novel attribution study of the factors most influencing team performance.
• Partly addresses the cause of the favourite-longshot bias observed in bookies odds.
摘要
•Illustrates the reasoning towards a Smart-Data approach.•Towards Smart-Data which aims to improve the quality of a dataset.•How Smart-Data is used to predict changes in long-term football team performance.•Provides a novel attribution study of the factors most influencing team performance.•Partly addresses the cause of the favourite-longshot bias observed in bookies odds.
论文关键词：Data engineering,Dynamic Bayesian networks,Expert systems,Favourite-longshot bias,Football predictions,Knowledge engineering,Smart data,Soccer predictions
论文评审过程：Received 29 January 2017, Revised 1 March 2017, Accepted 2 March 2017, Available online 4 March 2017, Version of Record 10 April 2017.
论文官网地址：https://doi.org/10.1016/j.knosys.2017.03.005
