Combining the technology of web and data warehouse with olap and data mining can improve the support ability of the companies 将web和数据仓库技术、 olap和数据挖掘技术用于现代企业管理决策中则可以大大提高企业的决策能力。
Analytical crm , whose core technology is data warehouse and data mining , is used to data management , data analysis and decision support 分析型crm主要用于数据管理、分析和提供决策依据,其核心技术是数据仓库和数据挖掘。
The following topics describe the concepts , architecture , and objects used by analysis services to supply olap and data mining functionality 下列主题说明analysis services用于提供olap和数据挖掘功能的概念、体系结构和对象:
The data mining web controls need this provider to connect to the server that is running analysis services and the data mining models 数据挖掘web控件需要通过此访问接口来连接到运行analysis services和数据挖掘模型的服务器。
For resolving this problem , knowledge discovery in data ( kdd ) and data - mining technology are presented to find the information resources 知识发现和数据挖掘技术就是为迎合这种需要而出现的一种用于开发信息资源的新型数据分析技术。
During the past several years , quick development of data warehouse and data mining has opened a new approach for decision support system ( dss ) 近年来,数据仓库和数据挖掘等新技术的迅速发展为决策支持系统( dss )的发展开辟了新途径。
The technique of olap and datamining became more and more mature , so that the application market of data warehouse was built a good foundation 在线分析处理( olap )和数据挖掘技术的不断成熟,为数据仓库应用市场的开拓打下了良好的基础。
The technoledge of knowledge discovery and data mining are produced on the background of application requirement and developed with the decision system 知识发现和数据挖掘技术正是在这样的应用需求背景下产生并随着决策系统的推动而发展的。
At current , generalized dss is a set of schemes based on data warehouse with the tools of on - line analytical processing and data mining 目前开发的综合dss是以数据仓库技术为基础,以联机分析处理和数据挖掘工具为手段进行实施的一整套解决方案。
There have been growing interests in the techniques of data warehouse , olap and data mining since they support the decision - making 数据仓库技术、 olap技术和数据挖掘技术对决策支持系统的有力支持使它们成为数据库技术领域研究的一个热点和重点。