基于关联规则挖掘算法的集团型企业业务数据管理系统  

Business data management system of group enterprise based on association rules mining algorithm

作　　者：欧阳原野 OUYANG Yuanye(China Three Gorges Corporation,Wuhan 430014,China)

机构地区：[1]中国长江三峡集团,湖北武汉430014

出　　处：《电子设计工程》2024年第22期47-50,57,共5页Electronic Design Engineering

基　　金：湖北省长江三峡项目(PA2021030100001)。

摘　　要：为了在决策支持系统中快速挖掘出关联规则,以帮助管理者做出更好的决策,提出了一种非冗余高效用关联规则算法。建立了一个高效用项目集合,在其中识别出高效用项。在此基础上,开发了一种从构建的集合中生成规则的高效算法。将提出的新算法分别在稀疏型数据集和密集型数据集上进行了验证,实验结果表明,提出的非冗余高效用关联规则算法运行时间更短,且所占用内存更小。所提出的算法可以与各种应用集成,并且可以很好地与外部系统结合,例如物联网(IoT)和分布式计算机系统,其在决策支持系统中具有较高的使用价值。In order to quickly mine association rules in decision support systems to help managers make better decisions,a non redundant and efficient association rule algorithm is proposed.A set of efficient usage items was established,and efficient usage items were identified within it.On this basis,an efficient algorithm for generating rules from the constructed set was developed.The proposed new algorithm was validated on sparse and dense datasets,respectively.The experimental results show that the proposed non redundant and efficient association rule algorithm runs in shorter time and occupies less memory.The proposed algorithm can be integrated with various applications and can be well integrated with external systems,such as the Internet of Things(IoT)and distributed computer systems,which have high practical value in decision support systems.

关 键 词：数据挖掘 关联规则 高效用项目集合 物联网 决策支持系统 

分 类 号：TN919.5[电子电信—通信与信息系统] TP301.6[电子电信—信息与通信工程]