Exploring the reasons for the turnover of valuable employees through data mining

• 1、School of Economics and Business Administration, Chongqing University, Chongqing 400044

Abstract：Employees are the foundation of an enterprise. Based on the basic data of a consulting company\'s data set, this article uses classification methods to predict employee turnover, and uses C5.0 algorithm and Logistic regression model to output the relationship between human resources related data and valuable employee turnover , The purpose is to solve the actual problems encountered by the enterprise in the human resources sector through the classification algorithm, and the result shows that there is an inevitable relationship between the elements of inquiry and whether valuable employees leave.The final conclusion proves that whether valuable employees of the company will leave their jobs is related to the company\'s satisfaction, performance appraisal, number of participating projects, average monthly working hours, and working years in the research data, which has certain reference value for corporate human resource management.

Keywords： Human Resources Classification Algorithm Data Mining.