Data mining design for development job recruitment in Wuhan

Abstract

Due to the important strategic position of Wuhan City and the serious brain drain and asymmetry of talent recruitment information in Wuhan, this paper, from the perspective of data mining, takes the recruitment information of development positions in Wuhan published on lagou.com as the research data, using the C5.0 decision tree model and Bayesian network model for classification prediction, predicting the importance of variables, and generating some prediction rule sets to help job seekers and recruiters in the IT field to match job intentions and job requirements. The model evaluation results show that the use of decision tree model and Bayesian network model for prediction has high reference.