multidimensional data中文是什么意思

• 多维数据

• multidimensional    adj. 多面的；【数学】多维的。
• data    n. 1.资料，材料〔此词系 datum 的复数。但 d ...
• multidimensional data analysis    多维数据分析
• multidimensional data structure    多维数据结构
• a multidimensional personality    多面性格138
• multidimensional access    多维存取
• multidimensional allocation    多维分配
• multidimensional analysis    多维分析
• multidimensional analysiss    多维度分析
• multidimensional array    多维数组
• multidimensional attack    立体攻击
• multidimensional chromatograph    多维色谱仪
• multidimensional chromatography    多向层析
• multidimensional clustering    多维群集
• multidimensional code    多维码
• multidimensional coding    多维编码
• multidimensional consequence    多维结果
• multidimensional convolution    多维卷积; 多维褶积
• multidimensional derivative    多维导数
• multidimensional detection    多维检测
• multidimensional ellipsoid    多维椭面
• multidimensional estimator    多维估计式
• multidimensional flow    多维流动
• multidimensional geometry    多维几何形态
• multidimensional hierarchy    多维层次结构

• The article addresses one way to integrate the rolap technology and traditional report form function , and the way can manage the searches of the relational database to realize multidimensional data analysis and to deal with the execution of report form continuously
  本文将rolap技术与传统的报表制作功能集成起来，能够从对关系型数据库的检索处理中，连续实现多维数据分析和报表制作处理。
• At present , the data warehouse systems is more built on the relation database , so the star schema simulates the expression and memory of multidimensional data model by the relation model , for improving visit efficiency
  星型模型是数据仓库的数据模型设计一个补充部分，目前数据仓库系统多建在关系数据库之上，所以星型模型是由关系模型模拟多维数据模型的表示和存储，提高了数据仓库访问效率。
• This study investigates and discusses the design and implement of cfdc , from the aspect of database designing , logical inquiring and the display , also introduces the theory of multidimensional data model , hibernate , strusts and tiles
  本文从数据库设计、逻辑查询、页面显示等几个方面入手,结合多维数据模型、 hibernate映射理论、 struts框架理论以及tiles模板等多项先进技术,对本项目的设计与实现进行了深入的探讨与研究。
• In order to create mdx expressions used to design or secure cubes , or to create mdx queries to return and format multidimensional data , you need to understand basic concepts in mdx and dimensional modeling , mdx syntax elements , mdx operators , mdx statements , and mdx functions
  为了充分地利用mdx语言中包含的大多数功能，您需要熟悉主要的基本维度建模和联机分析处理( olap )概念。有关充分利用mdx所需了解的主要概念的详细信息，请参阅
• Secondly , olap is used to design new user space with multidimensional data sets . multidimensional data view is based on multidimensional data sets , which provides new analysize functions , such as slice , dice , pivot ( rotate ) , roll - up , drill - down and so on
  用olap重新设计用户空间，建立多维数据结构，在数据立方体的基础上设计用户多维视图，为用户提供切片、切块、旋转、上钻和下钻等操作方式，增强了人机交互接口的灵活性和适应性。
• At the same time , the microsoft sql server2000 analysis services is used to establish the required multidimensional data on the base of dw , for example the sales multidimensional data sets . therefore , the paper makes a whole and systematic progress in olap data analysis and data mining
  在数据仓库基础上,使用microsoftsqlserver2000analysisservices创建了所需要的多维数据集,如销售多维数据集,从而全面系统地进行了olap数据分析与挖掘。
• The multidimensional data model of the sample database is designed as star schema . the etl tool is implemented curtly and the tool is independence on structure in order to make the multidimensional query analysis be independent of data source , thereby , the expansibility of system is enhanced
  以星型模式设计了实例数据库的多维数据模型，并简单地实现了数据的提取与转换工具，该工具独立于查询分析系统，使得查询分析与数据来源无关，增强了系统的可扩展性。
• When you define a db2 warehouse target table , you can specify whether the table is created by the db2 data warehouse center , and whether it is a part of an olap schema , which means it might eventually be used as a dimension or fact table in a multidimensional data model , such as a star model
  中可以看到的，在定义db2仓库目标表时，可以指定是否由db2 data warehouse center创建该表，以及该表是否是olap模式中的一部分，这意味着它可能最终被用作多诸如星型模型之类的维数据模型中的一个维度或事实表。
• The proposition of the data warehouse is taking development at full speed of relation data base , undertaking the parallel processing of and distributed technology as foundation , solve possession a large amount of data but useful information poor ( data rich - information poor ) comprehensive solution that information technology exist in development online analysis processing and go on technology that analyses to multidimensional data , from analyses it way obtain analysis datum of aid decision that user need from various visual angles
  数据仓库的提出是以关系数据库、并行处理和分布式技术的飞速发展为基础的，是解决信息技术在发展中存在的拥有大量数据但有用信息贫乏( datarich - informationpoor )的综合解决方案。联机分析处理是对多维数据进行分析的技术，它从多视角分析途径获取用户所需的辅助决策的分析数据。
• Based on the stock exchange , this paper described the approach of conceptual multidimensional data modeling based on multidimensional e / r model in detail , and used it to model the stock exchange subject , then compared it with the existing multidimensional data models . based the applications , this paper described systemically the multidimensional data modeling techniques , and stated classifiedly the main operations used in this technique with formalization means . this paper stated vividly the approach of building the multidimensional data model based on the relation data model
  针对证券行业这样一个特定背景，在详细分析基于me r的多维数据概念建模方法的基础上，运用它对股票交易主题进行了概念建模，同时也把me r模型与常用的多维数据模型进行了对比；根据课题背景，对基于关系数据模型的多维数据建模方法进行了详细地阐述。