| 摘 要: 近年来，随着大数据技术的应用普及，大数据正在改变各行业的发展。在教育领域，大数据技术在解决 毕业生就业“难”和教育数据“闲置”问题方面产生了巨大的作用。本文在大数据时代背景下，使用Visual FoxPro开 发了关联规则兴趣度挖掘工具，并使用该工具对影响学生就业的各项事务进行挖掘分析，找出影响就业的原因，为及时 调整就业指导提供依据。 |
| 关键词: 大数据；关联规则；兴趣度；就业策略 |
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中图分类号: TP311.1
文献标识码: A
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| The Application of Interestingness Mining of Association Rules in Employment Analysis in the Era of Big Data |
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LI Zuojun
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( School of Information Science & Engneering, Dianxi Science and Technology Normal University, Lincang 677000, China)
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| Abstract: In recent years,with the popularity of big data technology,big data is changing the development of various industries.In the field of education,big data technology plays a significant role in solving the difficulties of employment and processing the idle educational data.In the context of big data era,this paper uses Visual FoxPro to develop a mining tool of association rule interestingness,and uses this tool to mine and analyze the various issues affecting students' employment,finding out the factors that affect employment and providing evidence for timely adjustment of employment guidance. |
| Keywords: big data;association rules;interestingness;employment strategy |
