Employee Performance Prediction Using EPP Framework

Authors

  • M. Karthika  Department of Computer science, Alagappa University, Karaikudi, Tamil Nadu, India
  • Dr. T. Meyyappan  

DOI:

https://doi.org/10.32628/CSEIT206654

Keywords:

Employee Performance, Prediction, Hybrid, Naïve Bayes, EPP, Classification

Abstract

In the today's industrial world, every company’s growth is depends on their employees. The company achievements are completely based on the employees in the organization. The employees’ performances are measured by the targets and achievements. But some external and internal factors affect the employees’ goals and achievements. Hence, the company has to find the performance of every employee and make proper solutions to improve the performance. This research work proposes a fully automated framework which can perform deep analysis of employees’ performance and job fitness using data mining and prediction methods.

References

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Published

2020-12-30

Issue

Section

Research Articles

How to Cite

[1]
M. Karthika, Dr. T. Meyyappan, " Employee Performance Prediction Using EPP Framework" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 6, pp.297-302, November-December-2020. Available at doi : https://doi.org/10.32628/CSEIT206654