In this paper, we propose a comprehensive analytics framework that can serve as a decision
support tool for HR recruiters in real-world settings in order to improve hiring and placement …

Employee turnover has been identified as a key issue for organizations because of its
adverse impact on work place productivity and long term growth strategies. To solve this …

Employee categorisation differentiates valuable employees as eighty per cent of profit
comes from twenty per cent of employees. Also, retention of all employees is quite …

Purpose The purpose of this study is to develop tree-based binary classification models to
predict the likelihood of employee attrition based on firm cultural and management …

In emerging knowledge economies such as Kenya, organizations rely heavily on their
human capital to build value. Consequently, performance management at the individual …

Data mining has been applied in various areas because of its ability to rapidly analyze vast
amounts of data. This study is to build the Graduates Employment Model using classification …

Data mining is currently a frontier research topic in the field of information and database
technology. It is recognized as one of the most promising key technologies. Data mining …

This study investigates into the integration of Machine Learning (ML) with Prescriptive
Analytics, showcasing the enhancement of decision-making processes in business through …

Employee attrition has indeed been viewed as a crucial concern for businesses due to the
negative impact it has on workplace motivation and productivity as well as prolonged growth …

Data processing is crucial in the insurance industry, due to the important information that is
contained in the data. Business Intelligence (BI) allows to better manage the various …