一种基于权函数的改进型关联规则挖掘算法

An Improved Association Rule Mining Algorithm Based on Weight Function

摘要: 提出了一种基于权函数的改进型关联规则算法——CWA priori算法。该算法利用决策属性在挖掘中的作用,归约数据源中无价值或价值较小的记录,从而缩短程序运行时间和节约数据存储空间,较好地改进了算法性能。实验结果证明CWA priori算法的效率明显高于A priori算法。

Abstract: This paper proposes an improved association rule mining algorithm based on weight function-CWApriori.The algorithm uses decision property to delete useless data records for decreasing the run time and memory spaces.It improves the algorithm performance greatly.The experimental results show that CWApriori algorithm is more efficient than Apriori algorithm.