Employees Performance Prediction

Authors

  • B. Prasanthi  Assistant Professor, Computer Science and Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, Telangana, India

DOI:

https://doi.org/10.32628/IJSRST2183108

Keywords:

Machine learning, Human Resources, HRM

Abstract

Employee is an important element of the organization. The success or failure of an organization depends on the employee performance. Human resource plays an important role for the success of the organization. Human Resource Management, HRM is a set of functions to maintain and develop a proficient human resource. A performance prediction procedure helps the human resource management in identifying the strengths and weaknesses of an employee. The performance evaluation of employee is depended on several different parameters based on work domain and objectives of an organization. This process of employee performance evaluation has a vital role in making strong and strategic decisions of manpower planning instead of salary reviews. The main objective of this prediction model constructed in this paper is to assist HR personnel in decision making by predicting the performance of an employee.

References

  1. Mona Mohamed Nasr, Essam Shaaban, Ahmed Samir, “A Proposed Model for Predicting Employees' Performance Using Data Mining Techniques ”, International Journal of Computer Science and Information Security (IJCSIS), Vol. 17, No. 1, January 2019
  2. Riyanto Jayadi, “Employee Performance Prediction using Naïve Bayes “, International Journal of Advanced Trends in Computer Science and Engineering, 8(6), November - December 2019, 3031- 3035
  3. Sarah S, Kashif Rajpoot, “Predicting Employee Attrition using Machine Learning” 13th International Conference on Innovations in Information Technology (IIT), January 2019.
  4. Namrata Bhartiya, Sheetal Jannu, Purvika Shukla, Radhika Chapaneri, “Employee Attrition Prediction Using Classification Models”, 5th International Conference for Convergence in Technology (I2CT) Pune, India, 2019 Mar 29-31, 201
  5. John M. Kirimi, Christopher A. Moturi, “ Application of Data Mining Classification in Employee Performance Prediction”, International Journal of Computer Applications (0975 – 8887) Volume 146 – No.7, July 2016

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Published

2021-06-30

Issue

Section

Research Articles

How to Cite

[1]
B. Prasanthi "Employees Performance Prediction" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.493-497, May-June-2021. Available at doi : https://doi.org/10.32628/IJSRST2183108