基于约束校验的大型网络数据库查询方法研究  

Based on the Constraints of the Large Network Database Query Calibration Method Research

作　　者：徐新爱[1] 

机构地区：[1]江西教育学院,南昌330032

出　　处：《科技通报》2012年第10期144-146,149,共4页Bulletin of Science and Technology

基　　金：江西教育厅科技计划项目(GJ11641)

摘　　要：针对大型网络数据系统中冗余信息过大,数据之间缺少正常的约束行为,而造成数据查询效率过低的问题,提出了一种基于约束校验的大型网络数据库查询方法。该方法对大型数据库中的正常数据和冗余数据在数据关联时进行必要的约束、判断分类,运用数据关联决策理论对冗余数据进行过滤,保证数据关联过程中较高的约束性。实验结果表明,在大型网络数据库的实验平台上,该方法大幅提高了数据搜索的效率,效果显著。According to the data in the system with large network redundant information is too large,lack of normal constraints between data behavior,cause data inquires the problem of low efficiency.Put forward a kind of calibration of large network based on constraint database query method,the large database of normal data and redundant data in the data association necessary constraint,when judge classification,using data association decision theory to the redundant data filtering process to ensure that the data connection the higher of the binding.The experimental results show that,in the large network database of experimental platform,this method greatly improve the efficiency of data search,good results.

关 键 词：网络数据量 数据约束 关联规则 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]