基于困难区域划分思维的级联数据库查询方法  

Method of Cascade Database Queries Based on The Difficult Zoning Thinking

作　　者：刘闪[1] 康燕[1] 

机构地区：[1]河北科技师范学院数学与信息科技学院,河北秦皇岛066004

出　　处：《科技通报》2014年第3期191-194,共4页Bulletin of Science and Technology

基　　金：河北省教育厅人文社科类课题(SZ123062);河北省教育厅课题(sz132075)

摘　　要：传统方法以不同数据库数据紧密逻辑特征和均值特征进行失效数据的定位,没有考虑逻辑特征被破坏带来的定位误差过大问题。提出基于困难区域划分思维的级联数据库查询方法。算法引入困难区域的概念,在设置初始簇中心时,以数据融合属性特征为基础,对属性融合差异较大的区域进行划分,形成融合困难区域,在困难区域内,计算最大的属性困难度的相似性,并对上述特征进行聚类分析,完成数据属性特征的筛选,优化查询过程。实验结果表明,利用该算法进行差异级联数据库的数据库查询,能够删除数据库中的冗余数据,提高数据库的查询效率。Traditional methods to different database data closely logical features and the mean failure data of positioning, without considering the logical characteristic was damaged positioning error is too big problem. Division is put forward based on the difficulty thinking of cascade database query method. Algorithm is to introduce the concept of difficult areas and in setting up the initial cluster centers, based on the data fusion attribute, the attribute fusion of different regional division, difficulties, the formation, in the area of the difficult to calculate the biggest attribute similarity of difficulty, and on the characteristics of clustering analysis, screening, of the complete data attribute of the optimization of query process. The experimental results show that the use of the algorithm for difference of cascade database database query, can delete the redundant data in the database, improve the query efficiency of database.

关 键 词：差异级联数据库 数据查询 困难区域 

分 类 号：TP127[自动化与计算机技术—控制理论与控制工程]