东北大学学报(社会科学版) ›› 2014, Vol. 16 ›› Issue (6): 596-600.DOI: -

• 经济与管理研究 • 上一篇    下一篇

基于数据挖掘的高校人才科研能力综合评价方法研究

谭雷1,2,庄新田1,韩鹏3   

  1. (1.东北大学工商管理学院,辽宁沈阳110819;2.东北大学秦皇岛分校人事处,河北秦皇岛066004;3.东北大学信息科学与工程学院,辽宁沈阳110819)
  • 收稿日期:2014-02-10 修回日期:2014-02-10 出版日期:2014-11-25 发布日期:2015-11-10
  • 通讯作者: 谭雷
  • 作者简介:谭雷(1979-),男,黑龙江泰来人,东北大学博士研究生,主要从事金融工程与风险管理研究;庄新田(1956-),男,吉林四平人,东北大学教授,博士生导师,主要从事金融工程与风险管理研究。
  • 基金资助:
    国家重点基础研究发展计划资助项目(2010CB955205)。

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

TAN Lei1,2, ZHUANG Xin-tian1, HAN Peng3   

  1. (1. School of Business Administration, Northeastern University, Shenyang 110819, China; 2. Personnel Office, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China; 3. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China)
  • Received:2014-02-10 Revised:2014-02-10 Online:2014-11-25 Published:2015-11-10
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摘要: 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。

关键词: 数据挖掘, 高校, 人才评价, 科研能力

Abstract: 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.

Key words: data mining, college and university, staff evaluation, research capacity

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