HR Analytics: Analysis of Employee Attrition Using Perspectives from Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9550-9_15
Reference11 articles.
1. Alao DABA, Adeyemo AB (2013) Analyzing employee attrition using decision tree algorithms. Comput Inf Syst Dev Inf Allied Res J 4(1):17–28
2. Bindra H, Sehgal K, Jain R (2019) Optimization of C5.0 using association rules and prediction of employee attrition in international conference on innovative computing and communications. Lecture notes in networks and systems, Singapore
3. Cotton JL, Tuttle JM (1986) Employee turnover: a meta-analysis and review with implications for research. Acad Manag Rev 11(1):55–70
4. El-Rayes N, Fang M, Smith M, Taylor SM (2020) Predicting employee attrition using tree-based models. Int J Organ Anal 28(6):1273–1291. https://doi.org/10.1108/IJOA-10-2019-1903
5. Jain N, Maitri S (2018) Big data and predictive analytics: a facilitator for talent management. In: Munshi U, Verma N (eds) Data science landscape. Studies in big data, vol 38. Springer. https://doi.org/10.1007/978-981-10-7515-5_14
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