Research on Student Employment Portrait Based on Aprior Algorithm
Education data mining based on campus behavior data can effectively explain students'employment choices and provide reference for solving the employment problem of college students.Taking more than 6 000 undergraduate students of a college as the research object,firstly,it collects and analyzes students'basic information and four-year behavioral data in college,and constructs students'label system.Secondly,it mines the intrinsic relationship between different graduation directions and students'labels through Aprior association rules to generate employment portraits of students in the categories of further education,state-owned enterprises,going abroad and three-funded enterprises.The results of the study show that there are obvious differences in academic performance,basic information,and behavioral regularity among students with different employment destinations,which provides reference for employment guidance and management in colleges.
国家科技期刊平台
NSTL
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