Use of classification trees and rule-based models to optimize the funding assignment to research projects: A case study of UTPL

作者：

Highlights：

• An automated logical classification method of faculty members previous research activity is validated.

• Resampling methods to balance datasets and improve accuracy on models are analyzed.

• Classification machine learning models gave a valuable performance in optimizing the funding assignment of research projects.

摘要

•An automated logical classification method of faculty members previous research activity is validated.•Resampling methods to balance datasets and improve accuracy on models are analyzed.•Classification machine learning models gave a valuable performance in optimizing the funding assignment of research projects.

论文关键词：Automated logical classification,Resampling methods,Funding assignment,Unbalanced dataset,Model validation methodology

论文评审过程：Received 6 July 2020, Revised 20 October 2020, Accepted 27 October 2020, Available online 5 December 2020, Version of Record 5 December 2020.

论文官网地址：https://doi.org/10.1016/j.joi.2020.101107