Optimization of Human Resource Management System Based on Data Mining Technology and Random Forest Algorithm

Abstract

Talent is the first resource, and the role of talents in an enterprise is self-evident. Retaining key talents is crucial to the development of an enterprise. However, traditional data statistics methods cannot meet the needs of the government or enterprises in talent introduction, training, and reserve. For this reason, data mining technology and random forest algorithm are used to discover the hidden laws in the human resource management system and provide the government or enterprises with information. Decision support has become an urgent concern of the government and enterprises. This paper mainly studies human resources analysis and forecasting methods based on data mining technology and random forest. First, the data mining technology, naive Bayesian algorithm, decision tree algorithm, and random forest algorithm used in the research are introduced, and finally, the paper concludes this research.