olap

OLAP and its implement are adopted in the data mining of radar clutter data warehouse.

雷达杂波数据仓库的数据挖掘主要采用了OLAP方法及相应工具.

The overview section shows the name, package and time of the report running and a graphic to quickly indicate whether the data source type is relational, OLAP or dimensionally modeled relational ( DMR).

Overview区域显示所运行报表名称、数据包和时间，并用一个图形快速指示数据源类型是关系型、OLAP还是维度建模的关系型（DMR）。

An OLAP query often needs read-only access of data records for summarization and aggregation.

通常，OLAP查询只需要对数据记录进行只读访问，以进行汇总和聚集。

In addition, we analyze the result of OLAP and DM.

并对OLAP、数据挖掘的结果进行了分析。

Realizes to visit OLAP analysis model from client.

实现客户端访问OLAP分析模型.

Discusses the concepts and contents of data warehouse, OLAP and data mining, then describes the frame of the decision support system based on data warehouse technology, and gives the design for the university recruitment.

介绍了数据仓库、OLAP和数据挖掘的有关概念和内容，并在建立数据仓库的基础上提出了决策支持系统的理论框架，并提出了其在高校招生中应用的设计和实现方案。

The full use of integrated data must rely on the use of the OLAP to predict, to analysis and to make decision, which is based on data warehouse.

因此应用OLAP技术在数据仓库的基础上进行数据的预测、分析和决策，才会更好的利用综合性数据。

Design data flow process to populate OLAP data marts.

设计数据流过程来填充OLAP数据市场。

Representing in the interfaces of final OLAP result, both reports and charts be selected.

在最终的OLAP结果展现界面中, 可以以报表、图表等多种方式来显示最终结果.

Therefore, report service is an essential feature when applying OLAP technology to an enterprise or organization.

从OLAP环境 下面对企业用户提供报表服务则是OLAP系统的必备功能之一.

Model of Chain Stores Decision Supporting System Based on DW+ OLAP+ DM

一种基于DW+OLAP+DM的连锁销售决策支持系统模型

Research of Retailing Management Decision System Model Based on OLAP

基于OLAP技术的零售业经营分析系统模型的研究

Multilayer OLAP Application Model Based on Data Mart

基于数据集市的多层OLAP应用模型

Application of OLAP and Data-mining in The Visual Prediction System of Passing Rate in CET-4 and CET-6

OLAP和数据挖掘技术在CET-4和CET-6模拟预测系统中的应用

An OLAP system typically adopts either a star or snowflake model, and a subject-oriented database design.

而OLAP系统通常采用星形或雪花模型和面向主题的数据库设计.

The OLAP service is not primary designed for data integration; however, it is a powerful data presentation method used in most data warehouse solutions.

OLAP服务并不是主要针对数据集成而设计的；但是，它是一种强大的数据呈现方法，在大多数数据仓库解决方案中都使用OLAP。

How to improve the performance of joining and aggregation is a key problem for query processing.

提高多表连接和聚集操作性能是OLAP查询中的关键问题之一.

Several issues related with Tax decision making are studied and applied, including data warehouse ( DW), online analyses and processing ( OLAP) and data mining ( DM).

笔者对涉及到税务支持的几个关键问题进行了理论探讨和实际应用，包括数据仓库（DW）的建立和组织、联机分析（OLAP）和数据挖掘（DM）。

Method The-end display tool of OLAP is applied tosetup of the database.

方法:采用OLAP的前端展示工具,构建医疗质量信息统计资源库.

In this paper, we introduce firstly the concept of BI, Data Warehouse and OLAP.

本文首先介绍了商业智能 、 数据仓库和OLAP技术的相关概念.

25% interactive reporting ( prompts, drill, master detail, OLAP)

25%交互式报告（提示、钻取、明细、OLAP）

Research on data mart system based on OLAP queries

基于OLAP查询的数据集市系统的研究

Because of their huge volume, OLAP data are stored on multiple storage media.

由于数据量巨大, OLAP数据也存放在多个存储介质上.

Spatial data warehouse is the result of importing the data warehouse and online analysis processing ( OLAP) technology into the spatial information area, in order to support spatial data analysis.

空间数据仓库技术是将数据仓库和联机分析处理技术应用到空间信息领域，以有效地支持空间数据分析和决策。

NET and establish database model picture by OLAP tools.

NET技术建立系统的类图、以及采用OLAP工具建立数据库模型图.

And the system provides the users with flexible and various modes of representation, including reporting, charts, ad hoc queries, OLAP analysis, indicator monitoring and so forth.

且为用户提供灵活多样的展现方式，包括报表、图表、即席查询、OLAP分析、指标监视等。

Finally, three main applications of data warehouse are depicted in detail.

最后阐述了数据仓库的三大应用:灵活报表、OLAP分析、数据挖掘.

So this imposes critical request to the response time of queries and makes improving efficiency of OLAP queries the key issue in Data Warehouse application.

这种使用方式对查询响应速度提出了很高的要求，使得提到OLAP查询效率成为数据仓库应用中的关键问题。

Two years of study in telecom provides plenty of knowledge on this field and related engineering theory and experience, while build a solid foundation for the realization of Thin-Client OLAP.

电信两年多时间的领域调研和课题研发，为本文积累了充分的领域知识和相关理论及工程经验，也使得瘦客户端的OLAP的提出和实现有了扎实的基础。

The paper analyzes the necessity of adopting data warehouse in decision support system, describes the operational mechanism of data warehouse and stresses OLAP and Data Mining, the key techniques in data analysis and decision-making.

本文分析了在决策支持系统中引入数据仓库的必要性，论述了决策支持系统中数据仓库的运作流程，并强调了数据分析与决策的关键技术：OLAP技术和数据挖掘技术。