基于数据挖掘的高校人才科研能力综合评价方法研究

A Comprehensive Evaluation Method of Staff Research Capability at Colleges and Universities:Based on Data Mining

通过构建高校人才科研能力评价指标、设计联合聚类分析和关联分析算法的数据挖掘方法,对高校人才科研能力进行了数据挖掘分析。研究结果表明,所提方法能够很好地反映算例中某高校人才队伍学缘关系、骨干人才横向项目开发能力和科研能力差异化等主要问题,从而有针对性地提出了注重引进重点高校人才、加强骨干人才学术交流、设置具有针对性的激励政策等策略,这有利于高校人事部门制定科学的人才政策,促进高校整体科研水平的提升。

By establishing evaluation indicators and designing a data mining method combining clustering analysis and association analysis, this paper analyzes staff research capacity at colleges and universities. The results showed that this proposed method can well reflect the problems of sampled colleges and universities including staff educational history, key talents＇ development ability of horizontal projects and their research capacity diversity. Accordingly, some strategies were put forward, which include stressing talent introduction from key universities, strengthening academic exchanges among key talents and setting up specific encouragement policies, which could help personnel departments at colleges and universities to make scientific talent policies and improve the overall research capability.