Application of Big Data Processing Technology in Human Resource Management Information System

Abstract

Abstract As an important part of the high-level management model, human resource management has attracted much attention in all fields. Human resource management faces a large number of data problems, and it is urgent to discover valuable knowledge and provide decision-making support for enterprises to develop talent training strategies. The purpose of this article is to analyze the application of big data processing technology in human resource management information system. This paper proposes a literature research method, a case research method and a comparative research method to conduct a comprehensive analysis of the human resource management information system of a company. In addition, this paper takes the human resource data of a company as an example, through a large amount of data preprocessing work, design a human resource data mining system based on association rules is implemented, which realizes the application of incremental association rule mining algorithm to human resource data mining, realizes visualization, and finally mines valuable information. The experimental results of this paper show that the number of users of the client and server in the human resource management information system is less than 100, and the performance of the system can fully meet the needs of actual work in actual use.