期刊文献+

数据挖掘技术在高校教学质量评估中的应用 被引量:1

Data Mining Technology in Higher Education Teaching Evaluation
下载PDF
导出
摘要 对数据的分析比信息的获取更困难。提出了利用数据挖掘技术的关联规则对教学质量进行数据分析。以学生评价为例,使用改进的Apriori算法,建立了基于关联规则的评价指标体系,并取得了良好的效果。 In accordance with the multi-dimension relevance and time sequence relevance of evaluation data, the paper introduces the application of data mining technology. Taking the student evaluation as example, the author uses the modified Apriori algorithm, builds the evaluation index system based on association rules, and applies theses to the practical work, and the good effect is got.
作者 章丽芳
出处 《电脑编程技巧与维护》 2010年第20期152-154,共3页 Computer Programming Skills & Maintenance
关键词 数据挖掘 关联规则 APRIORI 教学质量 data mining association rules Apriori algorithm teaching evaluation
  • 相关文献

参考文献4

  • 1IEEE International Conference on Granular Computing Nanchang, China.: Juan-li Hu, Jia-bin Deng, Chang Hu Chang. An improved classification algorithm on teaching evaluation. 2009 : 239-244.
  • 2Second International Workshop on Education Technology and Computer Science. Wuhan, China:Yihua Zhang. Research and Application of the Data Mining Technology on the Quality of Teaching Evaluation. 20410: 368-371.
  • 34th International Conference on Computer Science and Education, ICCSE 2009. Nanning, China: Hong Liu, Yinxiao Ma. Research of performance evaluation of course design based on rough set theory. 2009: 1005-1008.
  • 4Intelligent Information Technology Application, 2009. IITA 2009. Nanchang,china.: Li Ping, Duan Fu. The Disposal of Incomplete Classification Data in Teaching Evaluation System: 132-135.

同被引文献24

引证文献1

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部