Abstract
Every organization today is challenged with the issues of employee attrition. Attrition is the reduction in the employee base of an organization. This could be because of voluntary resignation or expulsion by the higher management. It becomes important for the company to be prepared for the loss of human power in whom company has invested and from whose help it has earned revenue. Thus, it is a profitable idea to predict the risk involved with uneven attritions so that management can take preventive measures and wise decisions for the benefit of the organization. In this paper, a model based on Machine Learning techniques that predicts the employee attrition has been designed. The model is implemented and is thoroughly analyzed for the full profile of companies. It has been shown that the model can be effectively used to maximize the employee retention.
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Gabrani, G., Kwatra, A. (2018). Machine Learning Based Predictive Model for Risk Assessment of Employee Attrition. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10963. Springer, Cham. https://doi.org/10.1007/978-3-319-95171-3_16
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DOI: https://doi.org/10.1007/978-3-319-95171-3_16
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