摘要
讨论了数据仓库、数据库知识发现和分布式对象的概念和技术，提出了一种集成化的ＩＤＳＳ（ＩｎｔｅｌｉｇｅｎｃｅＤｅｃｉｓｉｏｎＳｕｐｐｏｒｔＳｙｓｔｅｍｓ）的开发环境，将传统的ＤＳＳ四库结构与数据仓库相结合，把数据挖掘作为一种特殊的模型应用于数据库中的知识发现．同时，在系统实现上采用分布式对象技术，实现接口规范和应用程序相分离．最后进一步对数据仓库的设计与实现及数据库知识发现的设计与实现进行了介绍．
DSS (Decision Support System) is to support decision makers and improve the decision making process,which is much promising in CIMS,virtual enterprise,medical diagnosis and so on.Some techniques related to DSS are introduced,such as data warehouse,knowledge discovery in database and distributed object.Then a kind of integrated IDSS development environment is put forward, which combines the traditional IDSS with the data warehouse, applies a special model named data mining model to knowledge discovery in database and adopts distributed object technique in implementation. Finally,the design and the implementation of the data warehouse and knowledge discovery in database are introduced.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
1998年第4期399-402,共4页
Journal of Beijing University of Aeronautics and Astronautics
基金
国家"八六三"高技术计划
国家自然科学基金
霍英东基金
国防科技预研基金
北京市科技新星计划资助项目
关键词
决策支持系统
数据库
数据仓库
数据挖掘
IDSS
decision support systems
databases
artificial intelligence
data warehouse
knowledge discovery in database
data mining
distributed object
