Research And Application Of Quantitative Performance Evaluation Based On Decision Tree Algorithm

With the rapid rise of the rapid increase of information technology and the "Internet plus",also indicates that the rapid development in the reform of state-owned enterprises to promote the social and economic time,also makes the competition between enterprises is increasingly strong,so it is very necessary to use quantitative enterprise performance appraisal management system.In order to quickly and better for enterprises to speed up the pace of change,improve work quality and operating income,enhance the core competitiveness of enterprises,establish a good sense of teamwork,and timely response to business development and operations management in the operation of the enterprise operation and management problems,improve business efficiency,it is very necessary and significant to achieve the enterprise strategic target and effective strategy system to construct a control process regulation belongs to the characteristics of the enterprise and effective quantitative performance assessment management system.Firstly,this paper expounds the theory of quantitative performance appraisal and data mining,and sums up the key factors that influence the enterprise performance evaluation.The decision tree algorithm and clustering analysis technology through the research of data mining,the algorithm will make full use of the performance appraisal system to quantify the China railway materials Harbin Co.Ltd,analysis to evaluate and analyze the enterprise employees use K-mean clustering,divided into outstanding performance,good performance,qualified staff and poor performance of the four grade.Using decision tree C4.5 algorithm to refine the department assessment index form performance evaluation coefficient of departments or two subordinate company,composed of staff salary assessment indicators according to the enterprise performance appraisal and staff evaluation grade coefficient department or two subordinate company,to calculate the salary of employees,finally Chinese railway materials Harbin Co.Ltd.quantization the performance appraisal of the line combination,according to the actual data of the testing,analysis and verification,test results show that the proposed data mining quantitative performance appraisal system of the enterprise decision tree algorithm and clustering analysis technology in the establishment of a better accuracy,the transformation and upgrading,institutional change and decision making provide support on the basis of analysis for the enterprise.In this paper,the results show that in the process of enterprise reform and the rapid development of social economy,it has improved the efficiency of daily management.