Data Screening of a Teaching Evaluation System Based on Data Mining

摘要：

This paper has come up with the idea of screening the data of teaching evaluation systems on the basis of data mining technology. In a teaching evaluation system, an association rule algorithm has been applied to dig out the associations among each evaluation index. The screening of teaching evaluation data is carried out according to obtained association rules so as to eliminate invalid data and obtain valid data as the reference for the conclusion. The effective rate of this method reaches 94.7％ under the conditions of 75％ minimum support and 90％ minimum confidence, which demonstrates that the effectiveness of this method is reliable.

关键词： Data mining association rules data screening teaching evaluation

作者: Tao Zhang Aidong Wang

作者单位: School of Mathematics and Information Engineering, Taizhou University Taizhou, Zhejiang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 219-221

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）