计算机技术与发展2017，Vol.27Issue(5)：188-191,4.DOI:10.3969/j.issn.1673-629X.2017.05.039
基于粗糙集的大学生学习与就业关系分析
Relationship Analysis of Undergraduate Students' School Records versus Employment Based on Rough Set
摘要
Abstract
With the rapid development of social economy,the diversification of demand for talent,the domestic education has entered a new era of popularization.The number of graduates has increased year by year,resulting in increasingly severe employment situation of college graduates,therefore the student employment has become a hot issue of society.As an intuitive result of students' intelligence,learning attitude and other factors,students' academic performance more accurately reflects the overall level of the students,and also has a close relationship with employment.In order to help college students make reasonable use of their time for guiding learning,the achievement and employment data of the graduate majored in computer science and technology have been collected with basic theory of neighborhood rough set to reduce the grade attribute of student learning-employment table that has been preprocessed.Analysis on attribute reduction subset obtained has been carried out which could provide a more accurately intrinsic link between learning and employment to help undergraduate students find a favorite job.关键词
邻域粗糙集/属性约简/学习成绩/就业情况Key words
neighborhood rough set/attribute reduction/academic record/employment situation分类
信息技术与安全科学引用本文复制引用
吴汉卿,吴缓缓,杨莹莹,纪霞..基于粗糙集的大学生学习与就业关系分析[J].计算机技术与发展,2017,27(5):188-191,4.基金项目
国家自然科学基金资助项目(61402005) （61402005）
安徽省自然科学基金项目(1508085MF127,1308085QF114) （1508085MF127,1308085QF114）
安徽大学创新训练项目(201510357190) （201510357190）
计算智能与信号处理教育部重点实验室课题项目 （）
