Machine Learning and Data Mining Techniques for Human Resource Optimization Process—Employee Attrition

Abstract

This paper will present how machine learning and data mining techniques can be used in order to address one important challenge in human resources processes, more specifically employee attrition. For this purpose, the following sections include general techniques applied for classifications scenarios, ways in which a model can be built and analyzed and also the factors that need to be taken care into consideration when choosing an algorithm with which we should proceed to prediction. All the steps and implementations address a business need that exists in organizations worldwide and which could, once correctly targeted, reduce time, costs and improve company environment and performance.