关联规则数据挖掘方法的研究

在数据挖掘技术中有很多研究领域，关联规则数据挖掘就是其中一个重要的研究方向，对它进行深入研究不仅有着重要的理论意义，而且有着极其重要的应用价值。分析和研究Apriori算法，针对该算法中存在的效率瓶颈问题，提出了一个改进的挖掘算法FDBM_Apriori算法，并实现了该算法。理论和实验证明，FDBM_Apriori算法具有良好的性能。

The Research of Association Rules Data Mining Algorithms

In the data mining technology in many fields of study, association rule mining is an important research direction , it is not only and in-depth study has important theoretical significance , but also has important application value. Apriori algorithm analysis and research for the efficiency of the algorithm bottlenecks exist, we propose a mining algorithm FDBM_Apriori improved algorithms, and implementation of the algorithm. Theoretical and experimental results show, FDBM_Apriori algorithm has good performance.