基于弱关联数据修补技术的数据库优化查询算法  

Based on the Error Compensation Technology of Satellite Positioning Optimization Method

作　　者：陈良海[1] 

机构地区：[1]淮阴工学院电子与电气工程学院,江苏淮安223003

出　　处：《科技通报》2012年第10期182-185,共4页Bulletin of Science and Technology

摘　　要：在一些大型的数据库中,数据的种类和数量形成海量,一些复杂的强冗余数据给需要查询的关联数据带来了干扰,一旦干扰过大,会造成关联属性弱化,挖掘耗时,严重影响数据库查询的准确性和高效性。为了解决此问题,提出一种基于弱关联数据修补技术的数据库优化查询算法,在数据查询过程中,利用关联查询过程中实时数据对之前的数据进行关联修补;然后利用可修复的关联特征建立最有可能的数据关联,从而进一步地完成对海量数据弱关联环境下的数据库优化查询。实验表明,该方法能够较好地完成弱数据的关联,提高了查询的效率。In some large database,data type and quantity form mass,some complex strong redundant data to the need to bring the associated data query interference,once the interference is too big,can cause correlation attribute weakening,mining,time-consuming,and the serious influence of database query accuracy and efficiency.In order to solve the problems is proposed based on a weak related data repairing technology optimization algorithm database query,in data inquires the process,the association of real-time data in the process of inquires the data before for the correlation mended;Then use can repair the associated characteristics most likely establish data association,thus further to do to mass data weak implicative environment database query optimization.The experiment shows that the method can better complete weak data connection,improve the efficiency of the inquiry.

关 键 词：弱关联 关联修补 数据查询 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]