A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
Comparison of Machine Learning Methods for Predicting Employee Absences
Employee absences cannot be avoided but excessive and uncontrolled absences affect not only the companies and employees but also impact the economy, government and society. Though actual losses are hard to compute, absenteeism has been estimated to cost billions in direct and indirect costs. Addressing employee absences is difficult because the underlying reasons and causes are complex and not straightforward. Compounding this, companies do not have tools to analyze and predict the future riskdoi:10.11588/emclpp.2021.02.81078 fatcat:cinu2paxuvhnbh5z2l52urivhu