Abstract
In order to explore the application analysis of the decision tree algorithm in enterprise HRM effectiveness evaluation, we discuss data mining, decision tree algorithm, and decision tree model construction. In view of the continuous growth of big data information in the information age, we use the mean clustering algorithm, expert system algorithm, and decision tree algorithm to verify the accuracy and time efficiency of enterprise HRM effectiveness. Finally, it is considered that the application of the decision tree algorithm of data mining not only is in line with the enterprise HRM efficiency evaluation but also can promote the integration and effective allocation of human resources and transform the generated decision tree algorithm into classification rules, which has been widely studied and applied, and finally has important strategic significance for the development of enterprises.
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