本文以数据仓库为基础，与目前流行的联机分析处理、数据挖掘等技术相结合，提出了基于此的决策支持系统的设计。
Take data warehouse as foundation, with the aid of on Line Analytical Processing and data Mining technology, the composition and design of enterprise Decision Support System are put forward.
将数据仓库、OLAP、数据挖掘、模型库、知识库系统结合起来形成的综合集成决策支持系统是更高形式的决策支持系统。
The comprehensive integrated DSS, which composed of data warehouse and OLAP, data mining, model base and knowledge base system, is a more sophisticated form of DSS.
综合应用数据仓库与联机分析处理技术开发了外资管理决策支持系统。
By the use of data warehouse and Online Analytical Processing (OLAP), a decision support system for foreign investment management was developed.
介绍了数据仓库和联机分析处理，针对教育数据统计分析困难的现状提出了教育决策支持系统的一个解决方案。
Introduces technology about data warehouse and on-line analysis and supplies a solution of decision support system based on education.
首先分析了传统的决策支持系统的不足，在此基础上介绍了数据仓库的原理。
Based on analyzing shortage of the tradition decision support system firstly, the theory of data warehouse is introduced.
以数据仓库为基础的在线联机分析处理(OLAP)技术是决策支持系统(DSS)中一种新的决策分析方法。
Online analysis process (OLAP) technology based on data warehouse is a new decision-making analysis method in decision support system (DSS).
针对关系型数据库在联机分析方面的不足，利用数据仓库的相关技术和开发方法，提出了决策支持系统开发的一种新途径。
A new approach to decision support system is put forward based on related techniques and development methods of data warehouse for the shortage of relational database in the aspect of OLAP.
数据仓库和数据挖掘技术是决策支持系统的关键因素。
Data warehouse and data mining techniques are key factors of decision supporting system.
从数据的观点出发，讨论了数据驱动的决策支持系统的概念及其内涵，对数据仓库、联机分析处理和数据挖掘等手段也进行了一定程度的讨论。
From the point of view of data, this article discusses the concept of data driven decision support system, its connotation, as well as data warehouse, on line Analytical Processing and data mining.
为弥补传统数据库管理系统在智能决策支持系统应用中的缺陷，一种新的数据组织和管理技术——数据仓库技术应运而生。
To make up for the limitations of normal DBMSs to be used in IDSSs, a new technique-data warehouse is developed for the requirement of data organization and administration.
数据仓库系统正是一种基于数据分析辅助决策的方案，是数据驱动的决策支持系统的核心。
Data Warehouse system (DWS), as the core part of data-driven decision support system, is one kind of solution based on data analysis.
在实际应用中，详细论述了采用前述的建模方法进行决策支持系统数据仓库层模型的设计，包括数据建模、关系数据库选择及实现。
In the application of the aforementioned theory, the design of database 's system model on DSS is elaborated, including data modeling, the choice and realization of relational database.
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.
本文通过对数据仓库、数据挖掘技术和决策支持系统的研究，提出了基于数据挖掘的高校管理决策支持系统。
This paper puts forward a higher education decision support system (DSS) based on the research of data warehouse, data mining technique and decision support system.
研究目前常用的基于数据仓库和OLAP的决策支持系统模型，提出了在原有系统上结合数据挖掘技术和中间件技术的决策支持系统模型。
With a research of the existing architecture model of DSS based on data warehousing and OLAP, we present a new DSS model that combines data mining and middle ware techniques.
综合应用数据仓库技术与联机分析处理技术开发了外资管理决策支持系统。
With Data Warehouse and Online Analytical Processing (OLAP), a Decision Support System for Foreign Investment Management is developed.
广义数据仓库是一种面向数据的决策支持系统，它为决策支持系统开辟了新的途径，使计算机辅助决策能力上了一个新的台阶。
Data Warehouse System is a kind of data-oriented decision Support System (DSS), it breaks a new path for DSS, makes Computer-aided decision reach a new step.
针对报业广告决策的特点，运用数据仓库技术和决策支持系统的思想开发出一套适应面广、灵活性高的智能决策支持系统。
An intelligent decision support system with good adaptability and flexibility for newspapering advertisement is developed by means of data warehouse technology and DSS.
数据仓库是国土资源决策支持系统建设中的核心内容，是决策支持系统处理的基础。
Data Warehouse is the core content in the building of land resources decision support system, and it is the basis of dealing by a decision support system.
数据仓库是企业决策支持系统(DSS)和联机分析处理(OLAP)的数据环境。
Data warehouse provides a good data environment for Decision Support System (DSS) and On-Line Analytical Processing (OLAP).
本文主要研究基于数据仓库技术的决策支持系统的解决方案。
A scheme of DSS based on DW is mainly studied in this paper.
在分析电力营销业务的基础上，本文基于数据仓库理论、决策支持系统理论建立了电力营销支持系统。
After analyzing power marketing tasks, power marketing DSS based on DW theory and DSS theory are built in this paper.
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其成为数据库技术领域一个研究的热点和重点。
There have been growing interests in the techniques of date warehouse, OLAP and data mining since they strongly support the decision-making.
对数据仓库的开发流程进行了探讨，最后提出建立基于数据仓库系统的决策支持系统的新方法。
Later Data Mart which is small Data Warehouses and Data Warehouse-based Decision Support System will be discussed.
基于数据仓库的决策支持系统的应用己慢慢开始起步，对其进行理论上的研究将具有很大的实用意义。
The application of DSS based on data warehouse stands at an underway stage, so the theoretical research on the system will make sense for practice.
数据仓库和OLAP是决策支持系统的重要组成部分，它们能够帮助决策者有效的分析和理解问题。
Data warehouses and OLAP are necessary elements of decision support. They can help decision makers to effectively approach, analyze and understand problems.
论文的主要工作如下：（1）对决策支持系统、数据仓库、联机处理分析OLAP、数据挖掘相关理论和技术进行了研究。
The paper's main tasks are as follows:(1) Some research was developed which was about the theory and technology of DSS, data warehouse (DW), Online Analytical Processing ( OLAP ) , data mining(DM).
论文进行了进销存数据仓库底层构架的设计，实现了进销存决策支持系统的OLAM功能。
The base of inventory data warehouse was designed in this thesis, and then realized the OLAM functionality of inventory decision support system.
数据仓库是构造现代决策支持系统最重要的技术基础之一，它能解决许多传统决策支持系统难以解决的难题。
Data Warehouse technology is an important foundation of contemporary DSS, a number of problems with traditional DSS can be solved by introducing DW technology.
数据仓库是构造现代决策支持系统最重要的技术基础之一，它能解决许多传统决策支持系统难以解决的难题。
Data Warehouse technology is an important foundation of contemporary DSS, a number of problems with traditional DSS can be solved by introducing DW technology.
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