一种改进的动态遗传Apriori挖掘算法

Improved dynamic genetic Apriori mining algorithm

在经典关联规则算法Apriori的基础上,提出了一种改进的动态遗传Apriori挖掘算法。通过动态遗传Apriori挖掘算法对学生成绩管理数据库中的课程进行分析,找出各课程之间的隐藏关系,得到一些合理、可靠的课程关联规则,从而根据这些规则进行课程的合理设置。实验结果表明,该算法能高效地解决数据挖掘问题。

This paper proposed a dynamic genetic Apriori algorithm based on traditional Apriori algorithm. Analyzing student’ s achievement utilizing dynamic genetic Apriori algorithm to administer to educational management database,relationship concealing finding out between each curriculum,it was rightful to obtain some dependable association rules,moreover on the basis of these regulations carries on the rightful installation of courses. Experiment results demonstrate that this method can solve data mining effectively.