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.
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.
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.
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.
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.
ROLAP数据立方体是按关系表格的集合实现的(最多可达维度数目的两倍)，来代替多维阵列。
The ROLAP data cube is implemented as a collection of relational tables (up to twice as many as the number of dimensions) instead of as a multidimensional array.
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.
数据立方体是二维表格的多维扩展，如同几何学中立方体是正方形的三维扩展一样。
Data cubes are multidimensional extensions of 2-d tables, just as in geometry a cube is a three-dimensional extension of a square.
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.
OLAP按照数据立方体模型组织多维数据，从而方便了查询。
OLAP organizes multidimensional data against data cube model, which is convenient to queries.
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.
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.
定义：数据立方体是一类多维矩阵，让用户从多个角度探索和分析数据集，通常是一次同时考虑三个因素（维度）…
DEFINITION: A data cube is a type of multidimensional matrix that lets users explore and analyze a collection of data from many different perspectives, usually considering …
每次运行脚本，除此之外，多维数据集问题[1]，创建一个新的数据集在这个立方体开始[2]，和前面的多维数据集，如果有的话，将[0]。
Each time the script is run, among other things, the cube in question is set to [1], a new cube is created in front of this cube and set to [2], and the previous cube, if there is one, is set to [0].
每次运行脚本，除此之外，多维数据集问题[1]，创建一个新的数据集在这个立方体开始[2]，和前面的多维数据集，如果有的话，将[0]。
Each time the script is run, among other things, the cube in question is set to [1], a new cube is created in front of this cube and set to [2], and the previous cube, if there is one, is set to [0].
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