摘要
对Apriori关联算法进行了研究和改进,对算法改进前后的性能进行了比较,结果表明改进后的算法比Apriori算法的执行效率高;并以学生评教为例,对以往大量数据进行关联分析,建立了基于预处理关联规则的评价指标体系,为教学评价的科学性提供了有力依据.
Apriori algorithm is researched and improved, the fore-and-aft performance of the algorithm is compared, and the result proves the improved algorithm is more efficient than Apriori algorithm. Taking student evaluation as example, a large number of data are analyzed connectedly, an evaluation index system based on preprocessing association rules is established, which provides scientific basis for teaching evaluation.
出处
《烟台大学学报（自然科学与工程版）》
CAS
北大核心
2010年第2期127-131,共5页
Journal of Yantai University(Natural Science and Engineering Edition)
基金
烟台大学青年基金资助项目(DP07Z1)
