序列模式挖掘在教学管理上的应用

Sequential Pattern Mining Used in Teaching Management

序列模式挖掘是指从序列数据库中寻找频繁子序列作为模式的知识发现过程。本文将序列模式挖掘应用于教学管理,对学生成绩样本数据按照序列数据库模式进行建模和数据挖掘,得出置信度大于65%的时序关联规则3条。实验结果表明,将序列模式挖掘应用于教学管理,对相关课程成绩进行数据挖掘是可行的,发现的时序关联规则对学校的教学管理和学生学业促进有一定的实际指导意义。

Sequential pattern mining is a knowledge discovery procession to look for frequent sub pattern from temporal sequence database.This paper applies sequential pattern mining to teaching management,constructs data model according to the temporal sequence database model on student achievement sample data,does sequential pattern mining,and gets three temporal sequence association rules whose confidence is higher than 65%.The experimental result indicates that applying sequence pattern mining to teaching management,and doing data mining on scores of relevant course is feasible.The found temporal sequential association rules have certain practical significance to improve the teaching management and promote the student＇s learning.