Abstarct: In today's world, the role of human resources is one of the main and most important roles in creating competitive advantage for organizations. There for, human resource managers, with a good selection of employees, are taking a major step towards the development of their organization. Due to the advances in technology in recent decades, the amount of information stored within the organizations is increasing every day. As a result, using this extensive information can be used to discover patterns and rules among various data sources, including human resource data, which is possible with the use of data mining science. Today, data mining techniques are widely used to discover patterns and rules among data. Using these methods can be useful in explaining a human resource selection model for organizations. In this research, while investigating common methods for recruiting and selecting human resources, the performance of three algorithms of data mining methods including decision tree tree, consensus classification and random forest have been investigated. Also, in this study, the combination of two superior algorithms, as research innovation and obtaining a more favorable outcome, has been used.