HR Analytics in Retail: Predicting Employee Churn with Machine Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67192-0_14
Reference12 articles.
1. Kamarulzaman, N., Zulkeflee, N.Z., Hamid, H.A., Sahari, N., Halim, F.N.A.: Exploring the factors of high turnover in retail industry in Negeri Sembilan. Procedia Econ. Finan. 31, 896–902 (2015)
2. Ajit, P.: Prediction of employee turnover in organizations using machine learning algorithms. Algorithms 4(5), C5 (2016)
3. Yiğit, İ.O., Shourabizadeh, H.: An approach for predicting employee churn by using data mining. In: 2017 International Artificial Intelligence and Data Processing Symposium (IDAP), pp. 1–4. IEEE (2017)
4. Chakraborty, R., Mridha, K., Shaw, R.N., Ghosh, A.: Study and prediction analysis of the employee turnover using machine learning approaches. In: 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON), pp. 1–6. IEEE (2021)
5. Alamsyah, A., Salma, N.: A comparative study of employee churn prediction model. In: 2018 4th International Conference on Science and Technology (ICST), Yogyakarta, Indonesia, pp. 1–4 (2018). https://doi.org/10.1109/ICSTC.2018.8528586
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