By comparing data mining , olap and dss , the thesis deeply analyzed data mining value . today , data mining technology has been accepted and used by the industry 并通过对数据挖掘、 olap (联机分析处理) 、 dss (决策支持)的比较，深入分析数据挖掘的价值。
The technologies of data warehouse , olap and data mining have been widely applied in developed countries , whereas it is still in the beginning in china 数据仓库、联机分析处理和数据挖掘三个技术在国外已经取得了广泛的应用，而在我国的应用才刚刚起步。
Data warehouse ( dw ) and online analytical processing ( olap ) open up a new channel for decision support system ( dss ) . data - driven dss becomes the new way of dss 数据仓库和联机分析处理技术为决策支持系统dss开辟了新的途径，数据-驱动dss成为了dss的新形式。
On - line analytical processing expands the framework of data from two - dimension to niultiple - dimension , and provides the method to analyze the multiple dimensional data 联机分析处理把数据的组织由二维平面结构扩充到多维空间结构，并提供了多维数据分析方法。
And carried out the olap the operation in the fact form that establish . through these operationses realize data warehouse application in tax administration system 并在建立的事实表上进行了olap (联机分析处理)操作，通过这些操作实现数据仓库在税务系统的应用。
With the emergence of data warehouse , data mining technology and olap technology also come out . these two technologies provide the powerful support for data analysis 伴随数据仓库技术出现的数据挖掘技术和联机分析处理( olap )技术又为数据分析提供了强有力的支持。
The front tool of data warehouse , olap ( on - line analytical process ) , is an advanced dss ( decision support system ) tool , which is developing rapidly during the recent decades 作为数据仓库前端工具，联机分析处理( olap )是近十年迅速发展起来的一种高级决策支持工具。
Dw , olap ( online analytical processing ) and dm ( data mining ) develop rapidly with this application . dw is made up of data drawing out , data cleaning and data transformation 数据仓库、联机分析处理( olap )和数据挖掘( dm )技术正是在此类应用的推动下得到迅猛发展的。
On line analytical processing is the mainly apply of database warehouse , and it supports complex analyzing , decision making , and can offers simple inquiring result 联机分析处理( olap )是数据仓库系统的主要应用,支持复杂的分析操作,侧重决策支持,并且提供直观易懂的查询结果。
It discusses the systematic realization course from data warehouse to data mining and on - line analytical processing separately , and provide the method to realize component interface 分别从数据仓库、数据挖掘和联机分析处理三方面讨论了系统的实现过程，并给出构件接口实现的方法。
