Journal of Hebei University of Water Resources and Electric Engineering

Journal of Hebei University of Water Resources and Electric Engineering ›› 2019, Vol. 29 ›› Issue (1): 52-55.DOI: 10.16046/j.cnki.issn2096-5680.2019.01.010

• Technology Theory and Application • Previous Articles     Next Articles

The Application of Big Data in the Cultivation and Employment of Application Colleges and Universities

CUI Bing-de,TIAN Zhi-min,XIN Chen,HAO Hui-juan   

  1. Hebei University of Water Resources and Electric Engineering,061001,Cangzhou,Hebei,China
  • Received:2018-04-12 Revised:2018-07-09 Online:2019-03-31 Published:2019-04-30

大数据技术在应用型高校人才培养制定中的应用

崔炳德1，田志民2，辛 晨1，郝慧娟2   

  1. 1.河北水利电力学院计算机科学与信息工程学院，河北省沧州市重庆路1号 061001;
    2.河北水利电力学院教务处，河北省沧州市重庆路1号 061001

  • 作者简介:崔炳德(1973-)，男，河北盐山人，副教授，研究方向:计算机教学改革､计算机应用｡E-mail:780020298@qq.com
  • 基金资助:
    沧州市社会科学发展研究课题(2017040);; 河北水利电力学院社会科学项目(SYSK1702)

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Abstract: With the progress of science and technology and the popularization of Internet technology,there is a large amount of information on the Internet and big data technology is developing rapidly,which affects all fields and areas.In higher education,the establishment of professional personnel training project cannot be separated from the information of policy,industry development and graduates feedback.In this paper,big data technology and data mining technology are briefly introduced,and the innovative idea of providing support for professional personnel training project through data mining by CRISP-DM model is analyzed.

Key words: big data, data mining, talent cultivation, employmen

摘要： 随着科技的进步以及互联网技术的普及,在网络上充斥着大量的数据信息,大数据技术也得以发展,大数据影响着各行各业。在高等教育中,专业人才培养方案的制定也离不开政策信息、行业发展信息、毕业生反馈信息的支撑,文中简要介绍了大数据技术和数据挖掘技术,分析了利用CRISP-DM模型进行数据挖掘为专业人才培养方案制定提供支撑的思路。

关键词: 大数据, 数据挖掘, 人才培养, 就业

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