摘要
传统异地异构数据的整合方法存在查准性能差的问题,文中为此提出基于虚拟数据库技术的异地异构数据源整合方法。构建虚拟数据库异地异构数据的传输负载模型及数据存储结构,提取数据存储结构的稀疏性特征,并挖掘虚拟数据库异地异构数据的属性关联规则特征量,利用特征量融合异地异构数据的模糊信息,建立数据整合模型,实现虚拟数据库异地异构数据源整合。仿真结果表明,采用该方法进行虚拟数据库异地异构数据源整合时间的开销小,数据库的查准率较高。
The integration method of traditional heterogeneous data has the problem of poor calibration performance.In order to solve that,a heterogeneous data source integration method based on virtual database technology is proposed.The transmission load model and data storage structure of the heterogeneous data of the virtual database is constructed,the sparse feature of the data storage structure is extracted,and the feature quantity of the attribute association rule of the heterogeneous data of the virtual database is mined,and the feature quantity to fuse the heterogeneous data Information is used to establish a data integration model,and realize the integration of heterogeneous data sources in virtual databases.The simulation results show that the method is used for the integration time of the heterogeneous data source in the virtual database.The overhead is small and the precision rate of the database is high.
作者
刘晴
汤玮
刘旭
LIU Qing;TANG Wei;LIU Xu(Electric Power Dispatching and Control Center of Guizhou Power Grid Co.,Ltd.,Guiyang 550002,China)
出处
《信息技术》
2020年第1期130-133,139,共5页
Information Technology
关键词
虚拟数据库技术
异地异构数据
整合
回归分析
virtual database technology
heterogeneous data in different places
integration
regression analysis
