现代信息科技2024，Vol.8Issue(3)：107-110,4.DOI:10.19850/j.cnki.2096-4706.2024.03.023
基于Aprior算法的学生就业画像研究
Research on Student Employment Portrait Based on Aprior Algorithm
兰洁 1董挺锴 1朱梦琳 1尹泉贺 1原素慧1
作者信息
- 1. 华北水利水电大学,河南 郑州 450046
- 折叠
摘要
Abstract
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.关键词
就业画像/数据挖掘/关联规则Key words
employment portrait/data mining/association rule分类
信息技术与安全科学引用本文复制引用
兰洁,董挺锴,朱梦琳,尹泉贺,原素慧..基于Aprior算法的学生就业画像研究[J].现代信息科技,2024,8(3):107-110,4.
