Employee Attrition Prediction Using RNN Importance of AI

Authors

  • Mrs I. Anusha, K.Srujana, K.Sai Vaishnavi Reddy, K.Hema Gayatri, Mallela Thanmai Reddy

Keywords:

Employee Attrition Prediction, RNN (Recurrent Neural Network) Definition, Importance of AI, Predictive Analytics, Human Resources, Talent Management, Retention Strategies, Deep Learning, Employee Engagement, HR Analytics.

Abstract

Employee attrition refers to the natural reduction in the employees in an organization due to manyunavoidable factors. Employee attrition results in a massive loss for an organization. The Society for HumanResource Management (SHRM) determines that USD 4129 is the average cost-per-hire for a new employee

References

Namrata Bhartiya; Sheetal Jannu; Purvika Shukla; Radhika Chapaneri, “Employee Attrition Prediction

Using Classification Models”, DOI: 10.1109/I2CT45611.2019.9033784, Bombay, India. [2] Sarah S. Alduayj; Kashif Rajpoot, “Predicting

Employee Attrition using Machine Learning”, DOI: 10.1109/INNOVATIONS.2018.8605976, Al Ain, United Arab Emirates.

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Published

2024-05-27

How to Cite

Mrs I. Anusha, K.Srujana, K.Sai Vaishnavi Reddy, K.Hema Gayatri, Mallela Thanmai Reddy. (2024). Employee Attrition Prediction Using RNN Importance of AI. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 1278–1281. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2484

Issue

Vol. 33 No. 05 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.