Apriori改进算法及其在课程相关性分析中的应用

Apriori Improved Algorithm and its Application in Course Correlation

该文分析与研究了Apriori算法,指出其在实用中存在的主要问题。鉴于此,该文提出了一种改进的关联规则挖掘算法,使其可以有效地压缩数据规模,并给出了改进后的关联规则算法描述。最后将其应用于课程相关性分析,得到了有益于课程设置挖掘结果。实验结果表明了算法性能优良,提高了数据挖掘执行的效率。

By analyzing and studying Apriori algorithm,this paper finds problems.Thus,this paper presents a new method which can ef-fectively reduce the number of data.This paper also offers a particular description of the new algorithm.At last the new algorithm is used to course correlation,by this we can get some useful result which is helpful to decision making of course setting.The results show the algo-rithm can improve the data mining performance and is excellent.