组态软件实时数据库的数据自动挖掘算法  

Automatic data mining algorithm for real-time database of configuration software

作　　者：段远志 DUAN Yuanzhi(School of Mathematics and Computer Science,Yuzhang Normal University,Nanchang 330000,China)

机构地区：[1]豫章师范学院数学与计算机学院,南昌330000

出　　处：《智能计算机与应用》2024年第2期183-186,共4页Intelligent Computer and Applications

摘　　要：组态软件实时数据库中的数据存在缺失值、重复值等问题,导致在数据自动挖掘过程中所需时间较长、效率降低,因此提出组态软件实时数据库的数据自动挖掘算法。采集组态软件实时数据库内的数据,根据该数据结果,设定在数据挖掘的过程中项目内、外部效用的乘积为项目的事务效用,根据该事务效用提取数据的特征;将收集到的数据特征节点平移,设定坐标原点和数据挖掘的数量,得到自动挖掘数据信息的结果,完成组态软件实时数据库的数据自动挖掘研究。实验结果表明,组态软件实时数据库的数据自动挖掘算法的挖掘时间较短,提高了挖掘效率,证明了所提算法的有效性。There are some problems in the real-time database of configuration software such as missing values and repeated values,which lead to long time and low efficiency in the process of automatic data mining.In this paper,an automatic data mining algorithm for real-time database of configuration software is proposed.The proposed method first collects data in a real-time database of configuration software and set the product of internal and external utility of a project as the transaction utility of the project in the process of data mining according to the data result and extract data features according to the transaction utility.The collected data feature nodes are translated,the coordinate origin and the number of data mining are set,and the results of automatic data mining are obtained.The research of automatic data mining in the real-time database of configuration software is completed.The experimental results show that the mining time of the automatic data mining algorithm in the real-time database of configuration software is shorter,which improves the mining efficiency and proves the effectiveness of the proposed algorithm.

关 键 词：数据挖掘 数据库 组态软件 数据收集协议 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]