关联挖掘技术支持下的数据库优化查询算法设计  

Design of Database Optimization Query Algorithm Supported by Association Mining Technology

作　　者：刘向东[1] LIU Xiang-dong(Sichuan Vocational and Technical College,Suining Sichuan 629000)

机构地区：[1]四川职业技术学院

出　　处：《数字技术与应用》2019年第5期137-138,共2页Digital Technology & Application

摘　　要：在一些大型数据库中,冗杂数据会导致查询精确度降低。基于此,提出关联挖掘技术支持下的数据库优化查询算法设计,包括数据库获取优化分析、内存数据查询的优化、关联规则频繁集的有效建立。实验证明本文设计算法与传统算法相比,在同等网络数据规模情况下,前者对于数据查询的判定精确度要高于后者,具有较高的有效性。In some large databases, cumbersome data can lead to reduced query accuracy. Based on this, the design of database optimization query algorithm supported by association mining technology is proposed, including database acquisition optimization analysis, optimization of memory data query, and effective establishment of frequent association rules. The experimental results show that compared with the traditional algorithm, the proposed algorithm has higher accuracy in determining the data query than the latter in the case of the same network data size.

关 键 词：关联挖掘技术 数据库优化 查询算法 精确程度 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]