Enterprise human resource management based on big data mining technology of internet of things

Abstract

Human resource management is an important part of business management. Through a set of scientific and effective management methods, human resource management for all employees and business owners of the enterprise. This research aims to explore how to use a large number of data mining and information technologies to solve the problems existing in the company’s human resource management. This course mainly studies the application of a large number of data mining theories, human resource management theory, the technical background of data mining, data mining process and analysis methods, analysis of their potential relationships, and existing problems, to improve the enterprise human resource management department the decision-making ability provides a reference. First, summarize the characteristics of the human resources market business, and compare the existing data mining algorithms. Here, a C4.5 algorithm in the decision tree algorithm is used to apply the job search information of the company’s recruitment of talents to scientifically analyze the information, during the selection and processing, and then the processing results are given to the C4.5 algorithm, and the corresponding decision tree is obtained. The results of this article show that the use of data mining technology can well solve corporate human resource management problems, such as the wages and benefits of corporate employees. Through big data analysis, it is easy to know that the salary of most doctoral diplomas is about 9,500 yuan, and the most salary for a college diploma is about 3,000 yuan (in remote areas). And according to your diploma, your major and benefits are different. Therefore, the human resources department of the enterprise can better discover talents.