A Novel Data Mining Approach Towards Human Resource Performance Appraisal

  • Pei Quan
  • Ying Liu
  • Tianlin Zhang
  • Yueran Wen
  • Kaichao Wu
  • Hongbo He
  • Yong Shi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10861)


Performance appraisal has always been an important research topic in human resource management. A reasonable performance appraisal plan lays a solid foundation for the development of an enterprise. Traditional performance appraisal programs are labor-based, lacking of fairness. Furthermore, as globalization and technology advance, in order to meet the fast changing strategic goals and increasing cross-functional tasks, enterprises face new challenges in performance appraisal. This paper proposes a data mining-based performance appraisal framework, to conduct an automatic and comprehensive assessment of the employees on their working ability and job competency. This framework has been successfully applied in a domestic company, providing a reliable basis for its human resources management.


Performance appraisal Data mining Enterprise strategy Job competency 



This project was partially supported by Grants from Natural Science Foundation of China #71671178/#91546201/#61202321, and the open project of the Key Lab of Big Data Mining and Knowledge Management. It was also supported by Hainan Provincial Department of Science and Technology under Grant No. ZDKJ2016021, and by Guangdong Provincial Science and Technology Project 2016B010127004.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Computer and ControlUniversity of Chinese Academy of SciencesBeijingChina
  2. 2.Key Lab of Big Data Mining and Knowledge ManagementChinese Academy of SciencesBeijingChina
  3. 3.School of Labor and Human ResourcesRenmin University of ChinaBeijingChina
  4. 4.Computer Network Information CenterChinese Academy of SciencesBeijingChina
  5. 5.School of Economics and ManagementUniversity of Chinese Academy of SciencesBeijingChina
  6. 6.Research Center on Fictitious Economy and Data ScienceChinese Academy of SciencesBeijingChina
  7. 7.College of Information Science and TechnologyUniversity of Nebraska at OmahaOmahaUSA

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