摘要
介绍了一个通用的、可扩展的、开放的数据挖掘系统(data mining system,DMS)框架。该框架能不依赖于某个具体的DB软件,方便地与数据仓库集成;而且在此框架下,DMS的数据源可以是数据仓库、多维数据库或数据挖掘数据库;通过采用面向知识的智能查询语言,DMS可以屏蔽不同数据源的差异;用户也可以使用这种简单易操作的语言进行数据挖掘,并以此为基础进行决策分析,从而使DMS达到良好的通用性。
A general, extendable and opening data mining system （DMS） is introduced. It is integrated with data warehouse （DW） expediently, not relying on specific DB software. Under this structure, the data resource of DMS could be DW, multiple database or DM database. By using a knowledge-based intelligent query language, DMS could mask the difference of various data sources. Users could also take advantage of this simple and easy-to-operate language to do data mining, and on this basis to make decision analysis, which make the DMS achieve a good generality.
出处
《计算机工程与设计》
CSCD
北大核心
2006年第8期1382-1384,1388,共4页
Computer Engineering and Design
关键词
数据挖掘
数据仓库
智能查询
数据库
知识智能查询
data mining
data warehouse
intelligent query
database
knowledge-based intelligent query
