第2章介绍了数据仓库技术的概念并给出了数据立方体的理论基础。
Chapter 2 of data warehouse technology and the concept of a data cube is the theoretical foundation.
有效的实现数据立方体的计算是提高数据仓库查询效率的有力方法。
Efficiently realizing the data cubes computing is a powerful tool to increase the query efficiency of the data warehouse.
数据立方体的压缩存储是大型数据库中立方体优化计算的重要研究内容。
Data cube compressed storage is an important research content in large-scale database about data cube optimization calculation.
方法：对业务数据的特性进行分析，从数据模型和数据立方体的角度组织和展现数据。
Methods: Analyze the characteristics of operational data, from the perspective of data model and cube data to organize and show the data.
系统可提供进销存多维数据立方体的查询，还可以通过挖掘算法进行挖掘分析以辅助决策。
This system can provide the queries of multi-dimensional data cube and also obtain the mining analysis though the mining algorithm for supporting decision-making.
数据立方体的形成过程就是数据聚集的过程，对聚集数据的维护可以转化为对数据立方体的维护。
The process of data aggregating is the process of data cube materializing, so the maintenance of aggregated data can be transformed into the maintenance of data cube.
该文提出了一种基于数据立方体的数据泛化算法用于数据预处理，能够为数据挖掘提供良好的数据环境，提高数据挖掘的有效性。
This thesis presents a data generalization algorithm based on data cube. The algorithm can clean the data for data mining and im-prove efficiency of data mining.
以往在数据立方体上实现的联机聚集往往需要附加空间来存储联机聚集估算所需要的信息，极大地影响了数据立方体的存储和维护性能。
Typically, online aggregation algorithms on multi-dimensional data need additional auxiliary data for estimation, which make the performance of the storage and maintenance of the data cube worse.
一个立方体的每个数据点或单元是它的维成员的笛卡尔乘积。
Each data point or cell of a cube is the Cartesian product of members of its dimensions.
数据查询表示立方体中的数据选择。
JOLAP包括三种类型的排序定义：基于成员属性的排序、基于成员层次的排序以及基于立方体数据值的排序。
JOLAP includes definitions for three types of sorting: those based on member attributes, member hierarchies, and cube data values.
但是您可以采用将一个四维数据结构看作是多个三维立方体的方式来理解四维数据结构。
But you can conceptualize a four-dimensional data structure by thinking of the fourth dimension as multiple three-dimensional cubes.
如果您的多维数据集有一个比我立方体不同的颜色，您可以改变程序的颜色。
If your cube has a different color than my cube, you can change the colors in the program.
移动立方体(MC)算法是基于规则体数据抽取等值面的经典算法，本文最后设计开发了一个基于MC算法的医学图像三维重建系统。
Marching cubes (MC) algorithm is a classical algorithm to extract iso-surface from regular volume data. At last, a medical images reconstruction system based on MC algorithm is developed.
你能够也分析外部的立方体文件和创作你的来自不同的数据库的特有的立方体文件源。
You can also analyze external cube files and create your own cube files from various database sources.
这种方法使用了基于密度的孤立点挖掘的主要思想，用克隆选择算法进行数据立方体搜索。
It is a dense-based method and the low-dense data cubes are searched by clonal selection algorithm.
在开发过程中，你将会需要一些数据，不幸的是，这个并不像写若干文本文件来定义一个立方体那么简单。
During development, you're going to need some data, and unfortunately it's not going to be as easy as writing some text files that define a cube.
由于数据立方体是一个非常有用的解释工具，所以大多数OLAP产品都围绕着按多维阵列建立立方模型这样一个结构编制。
Since data cubes are such a useful interpretation tool, most OLAP products are built around a structure in which the cube is modeled as a multidimensional array.
介绍了在数据立方体上对于不同可信度的数据进行分块的方法，阐述了基于数据立方体分块的多维关联规则挖掘的算法。
This paper introduces partition method in data cube with different confidence, expatiates on multidimensional association rule data mining algorithm based on data cube partition.
这样，在预测趋势和分析业绩时，数据立方体就非常有用，而表格最适合报告标准化的运作情况。
Thus data cubes can be extremely helpful in establishing trends and analyzing performance. In contrast, tables are best suited to reporting standardized operational scenarios.
另外根据实际应用背景，提出了一种混合数据立方体模型，并给出了其相应的查询和增量更新算法。
According to the practical context, this thesis raises a kind of hybrid data cube model and its query and incremental update algorithm.
封闭立方体是一种非常有效而重要的数据立方体压缩技术，目前还缺乏对其并行算法的研究。
Although the closed cube is a high-efficiency and important technology for data cube compression, there is no research on its parallel algorithm at present.
最后，基于数学工具———代数系统，给出了空间数据立方体严格的数学定义。
At last, based on a mathematical tool: algebraic system, this paper gives definition of spatial data cube.
多维数据分析的关键是生成多维数据立方体，立方体实质上就是一个多维数组，是维和变量的组合表示。
The linchpin of multi-dimension analysis is to build multi-dimension data cube, essential of which is a multi-dimension array, and is the combination express of dimension and variable.
对数据仓库多维视图进行容量估计是数据立方体设计、数据仓库存储规划和实施查询优化的基础。
Size estimation of multidimensional views of data warehouse is a fundamental step for data cube design, warehouse storage planning, and query optimization.
多维数据库中的超立方体结构应用于对海量数据的多维分析中。
The cube in multidimensional database is used in the multidimensional analysis of the huge data.
这也意味着我们看到数据立方体中的数据并不是实时的，动态的数据。
This also means that we're not looking at real-time, dynamic data in a data cube.
多维数据立方体是数据仓库和OLAP服务器的主要数据组织模型，多维数据立方体格的实现占用大量的时间和空间资源。
Multidimensional data cube is the major data model of data warehouse and OLAP server, but implementation of Multidimensional data Cuboids lattice is really time-consuming and space-consuming task.
在此基础上，学术界新提出了OLAM，它结合了二者的优势，提供在数据立方体上进行交互式多维数据挖掘的方法。
On this basis, the academia has put forward the idea of OLAM which had combined the advantages of the above two and offered the method of the interactive multidimensional data mining on the data cube.
在此基础上，学术界新提出了OLAM，它结合了二者的优势，提供在数据立方体上进行交互式多维数据挖掘的方法。
On this basis, the academia has put forward the idea of OLAM which had combined the advantages of the above two and offered the method of the interactive multidimensional data mining on the data cube.
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