计算机与数字工程2016，Vol.45Issue(7)：1226-1229,1342,5.DOI:10.3969/j.issn.1672-9722.2016.07.007
一个基于高内聚和低耦合的多数据库分类方法
An Application-independent Database Classification Method Based on High Cohesion and Low Coupling
曹礼园 1李深洛2
作者信息
- 1. 广东财经大学华商学院 广州 510006
- 2. 广西师范大学计算机科学与信息工程学院 桂林 541004
- 折叠
摘要
Abstract
Database classification is a preprocess technology for multi-database storage,management and mining.At present,there is a few related works for multi-database classification which is application-independent.However,they ignore the inter-class coupling or intra-class cohesion,and have a higher complexity.In this paper,an application-independent data-base classification method based on high intra-class cohesion and low inter-class coupling is proposed.Which uses hierarchical clustering method to avoid the instability and reduce the time complexity.The methodology,called Database Hierarchical Clustering,is established from a multi-criteria optimization problem of the sum of distance of classes and the coupling of clas-ses and the number of classes,and uses hierarchical clustering method to find the best cluster.Experiments on a synthetic da-tabase and the real-world databases show that the proposed methodology indeed is efficient in finding clusters in a set of data-bases.关键词
数据库聚类/多目标最优化/多数据库挖掘/层次聚类Key words
database clustering/multicriteria optimization/multi-database mining/hierarchical clustering分类
信息技术与安全科学引用本文复制引用
曹礼园,李深洛..一个基于高内聚和低耦合的多数据库分类方法[J].计算机与数字工程,2016,45(7):1226-1229,1342,5.
