Data Mining and Application of Teaching Evaluation Based on Association Rules

摘要：

The target of dada mining is to extract the potential, valuable pattern or regulation in the data from a great quantity. With the fast development of computer net, the large of data of teaching evaluation is accumulated. The analysis and processing technology to evaluation data is worse than data acquisition technology, which does not satisfy the demand of fairness, justice, objective, scientificalness of evaluation. 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.

关键词： data mining association rules Apriori algorithm teaching evaluation indez system

作者: Pan Qingxian Qu Linjie Lou Lanfang

作者单位: Institute of Computer Science and Technolog Yantai University Yantai, China, 264006

会议类型: 国际会议

会议名称: 第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)

会议地点: 南京

会议语种:英文

页码: 1404-1407

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）