关联规则在高职学生综合素质测评分析中的应用

传统方法对学生综合素质测评比较单一,管理者常以测评分值来衡量学生的素质,而未对影响因子进行深入研究.在某高职院校学生成绩基础上,针对加权平均传统方法的不足,采用K-means算法对学生成绩进行聚类以此确定出优良等级,再运用Apriori算法对综合素质测评中思想素质、社会工作实践与文体活动创新素质、专业属性及学生成绩等影响因子蕴含知识进行挖掘.研究结果表明,思想素质在影响因子中起引领作用,且教学管理与学生管理相互依赖,这一算法的应用为管理者决策提供了依据.

Evaluation of Comprehensive Quality by Mining Association Rules in Vocational Students

The current traditional methods of evaluating students' comprehensive quality is limited.The evaluation scores always used as an only one index to evaluate students' quality,however,less in-depth investigation on the other influence factors of the evaluation system.In this study,the authors analyzed and classified the scores of collage students by K-means clustering algorithm which can compensate the shortages of weighted average method.By adopting Apriori algorithm,the multi-factors associating with compre...