一种抗干扰数据库过滤优化查询算法研究  

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11期195-198,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,会对正常的查询行为带来干扰,使得查询较为耗时,准确性也不高。为了解决此问题,提出一种由多层搜索树推广而来的用于多维检索的树的结构形式,设计一种查询分辨器的功能,对数据进行多层树结构划分,运用层层过滤技术,排除干扰,从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,该方法能够较好的完成弱数据的关联,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]