摘要
本文将数据挖掘应用到学生成绩分析中,通过用户给定的最小支持度,利用Apriori算法得出频繁项集,结合最小置信度,确定各门课程之间的联系,以达到有针对性地帮助学生顺利完成学业的目的。
Data mining was used in analyzing the grade of students. The frequent item set was calculated by Apriori algorithm, based on minimum support given by users The relationships among subjects were determined by frequent item set combined with minimum confidence.h can help students accomplish study successfully.
出处
《农业网络信息》
2009年第6期100-102,共3页
Agriculture Network Information