Performance Prediction of Employees with Data Mining Approaches

Abstract

To improve the skills of HR applications, numerous strategies may be applied to expand AI technology. To identify the most important patterns and rules in massive amounts of data, data mining is one of the AI technologies that has been created. Managing an organization's talent is a problem for HR professionals, especially in terms of making sure the correct individual is assigned to the right role at the right time. An outline of a few of the resource management issues that may be tackled utilising data mining approaches is presented in this article This study also aims to apply a talent management assignment, which is to discover potential talent by using prior experience information to anticipate this performance. Employee performance data may be mined using the approaches outlined in this article. Finally, this research suggests that Data Mining Techniques might be used to predict talent in the future. Human capital is a major issue for business executives, who are primarily interested in acquiring highly qualified employees who are anticipated to perform well. The pieces are also framed using the Open-source tool's knowledge flow concept. Several trials were carried out based on the preceding methodologies to obtain a highly accurate model that can be used by decision makers and human resources experts to anticipate and improve their workers' performance.