摘要
为了提高教学管理预知性,提高人才培养质量,以收集整理的学生基本信息、历史成绩数据及各项素质测评成绩为数据源,运用经典的关联规则挖掘技术进行挖掘,分析对学生成绩产生影响的因素等。通过分析算法和系统的实现结果表明,采用关联规则挖掘技术分析学生成绩的影响因素,可靠且可行。
In order to improve the predictability of teaching management, to improve the quality of personnel training, based on the collected students＇ basic information, historical academic records and evaluation results for the quality, this paper made the analysis of the impact on student achievement factors, using the classical association rules. Based on the analysis of algorithms and the systematic realization result, it is totally feasible and meaningful for digging out the information of students＇ academic records＇ influencing factors using Association Rules.
出处
《计算机与数字工程》
2010年第1期24-27,176,共5页
Computer & Digital Engineering
关键词
数据挖掘
关联规则
教学信息
data mining, association rules, teaching information
