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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Research on Data Mining Method of Human Resource Job Matching under the Trend of Data Management

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DOI: 10.25236/meeit.2024.018

Author(s)

Chen Huang, Xuefei Liu

Corresponding Author

Chen Huang

Abstract

Human resource management is a systematic project, and the construction of human resource management information system is the key to realize human resource information management. Under the trend of data management, in the fierce market competition, how to improve the core competitiveness of enterprises and improve the level of human resources management are the key elements. Based on corporate vision and strategy, the effective application of data mining technology in enterprise human resources management is beneficial to the reasonable matching of people and posts, giving full play to employees' work abilities and potentials, improving the performance of organizations and employees, and realizing the sustainable development of enterprises. In this paper, the method of information extraction is used for information resource scheduling and feature extraction of human resource management, and the standardized regular migration model is used for information registration of personnel and posts in human resource management, and the optimal scheduling design of human resource is carried out. The autocorrelation component mining method is used for human resource information mining, and the optimal modeling of human resource information management is realized.

Keywords

Data Management, Human Resources, Job Matching, Data Mining