Human Resource Intelligent Scheduling Algorithm Based on Decision Tree Algorithm

With the development of the global network economy, competition in the global market has become increasingly fierce, the scale and number of commercial projects have continued to grow, and the requirements for human resource planning and management have become higher and higher. Traditional human resource management methods are often based on the personal subjective experience of managers, which is easy to make mistakes. Moreover, with the use of database technology and related computer technology in it, the amount of data in enterprises has increased sharply. Finding the information needed by the enterprise in the data information is related to the success or failure of the operation of the enterprise. At this time, the decision tree application based on data mining can analyze and process the data, and provide a basis for the management of human resources scheduling. The purpose of this article is to study the human resource intelligent scheduling algorithm based on the decision tree algorithm, analyze the decision tree algorithm in detail, find the core problem of the decision tree algorithm, integrate human market resources, and solve the key problems in modern human resource management. It provides a reference for the decision tree algorithm in human resource intelligent scheduling. Experiments show that the human resource scheduling based on the decision tree algorithm significantly shortens the cycle project, up to 27.5%. It greatly saves the time spent on human resource scheduling, which meets the expectations of the experiment.