The circumstances of rich data and lack of knowledge lead to the emergence of technology of data warehouse and data mining, and arouse the interests of people in various fields.
数据丰富而知识贫乏的状况导致了数据仓库和数据采掘技术的出现，引起了许多不同领域的人们的极大关注。
Analyzing multidimensional database, the paper puts forward multidimensional technology which may be used in discipline-oriented knowledge warehouse.
通过对多维数据库的分析，提出多维技术可以应用到面向学科的知识仓库中。
This paper introduces the basic of Data Warehouse and rudimentary knowledge of decision-analysis, such as its characteristic, supporting technology and system structure.
本文介绍了数据仓库以及决策分析的特点、支撑技术和体系结构等基础知识。
The paper introduces the concept about data warehouse and corresponding technology of knowledge discovery. It shows the advantage of knowledge discovery based on data warehouse.
文章通过对数据仓库的概念以及基于数据仓库的知识发现系统的技术特点的介绍，揭示了基于数据仓库的知识发现应用的优势。
Data mining provides good technology support for data warehouse-based decision support system, and data mining tools can directly mining in data warehouse for discovering potential knowledge.
数据挖掘工具将为基于数据仓库的决策支持系统开发提供良好的技术支持，以发现数据仓库中潜在的知识。
Data mining provides good technology support for data warehouse-based decision support system, and data mining tools can directly mining in data warehouse for discovering potential knowledge.
数据挖掘工具将为基于数据仓库的决策支持系统开发提供良好的技术支持，以发现数据仓库中潜在的知识。
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