摘要
为了提高对混合架构下ORACLE数据的挖掘和查找速度,提出一种基于频繁项目集关联规则挖掘的数据快速查找方法;构建ORACLE数据的内部关联属性映射关系模型,在异质网络混合构架模式下,采用Graph OLAP数据仓库模型进行数据库检索的关系维度表,提取表达ORACLE数据属性信息的特征参量,通过同态标签检索方法,实现对目标数据的快速查找定位;仿真结果表明,采用该方法进行ORACLE数据查找的查准率和查全率较高,计算速度较快,性能优于传统方法。
In order to improve the speed of mining and searching ORACLE data in hybrid architecture,this paper proposes a new method based on frequent itemsets association rule mining.To construct the internal mapping associated attribute relationship model of ORACLE data in the heterogeneous network,hybrid structure Graph OLAP data warehouse model using the database relational dimension table construction,extracting the characteristic parameters of expression feature information of the ORACLE data cable through the method of homomorphic tags fast lookup to locate the target detection data.The simulation results show that using the method of ORACLE data to find the precision and recall of high calculation speed,it has better performance than the conventional method.
出处
《计算机测量与控制》
2017年第8期218-220,225,共4页
Computer Measurement &Control
