<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">EST</journal-id><journal-title-group><journal-title>Educational Science Theory</journal-title></journal-title-group><issn>2995-4835</issn><eissn>2995-4843</eissn><publisher><publisher-name>Art and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/EST.2025040015</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>大数据时代高校毕业生就业稳定性风险预警机制构建研究</title><url>https://artdesignp.com/journal/EST/3/4/10.61369/EST.2025040015</url><author>刘静</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>3</volume><issue>4</issue><history><date date-type="pub"><published-time>2025-04-20</published-time></date></history><abstract>本文基于大数据背景，对高校毕业生就业稳定性风险的监测、建模、预警及对策进行了深入研究。通过构建风险预警机制，旨在提前识别和防范高校毕业生就业过程中的稳定性风险，为相关主体提供决策支持，促进高校毕业生的高质量就业。</abstract><keywords>大数据,高校毕业生,就业稳定性,预警机制</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Sandler M.,Howard A.,Zhu M.L. Inverted residuals and linear bottlenecks: Mobil networks for classification, detection and segmentation [J].Computer Science, 2019,21:302-311.[2] Lent R.W., Lopez A.M. Social cognitive career theory and the prediction of interests and choice goals in the computing disciplines [J]. Journal of Vocational Behavior,2018,1:52-62.[3] 郜攀峰. 基于大数据技术分析的高校毕业就业状况分析[J]. 现代电子技术,2020,18(43):47-53.[4] 谢爱国, 任志涛, 踪程. 大学生就业预警系统及其指标体系研究[J]. 现代教育管理,2009,02:111-113.[5] 刁振强. 基于大数据管理的高校毕业生就业监测预警系统研究[J]. 惠州学院学报( 社会科学版),2015,4(35):103-108.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
