动态交叉表和数据立方体特性。
有效的数据立方计算成为研究的热点之一。
It is becoming one of the research focuses to compute data CUBE efficiency in data warehouse.
数据立方计算是代价非常大的操作，并且被广泛研究。
Data cube computation is a well-known expensive operation and has been studied extensively.
动态交叉表及数据立方体(data cube)元素。
数据立方的计算在数据仓库中是非常必要但代价很大的操作。
The computation of data CUBE is necessary but high cost in data warehouse.
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.
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.
然而数据立方的巨大尺寸却给数据立方的计算和存储带来诸多难题。
However, the huge size of data cube introduces a series of problems with respect to its computation and storage.
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.
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.
为了从根本上解决这些问题，需要探索有效的数据立方计算和组织方法。
To solve these problems from the root, it is exigent to explore efficient data cube computation methods and cube storage structures.
在此基础上提出了基于浓缩数据立方的梯度联机挖掘mcgobc算法。
The algorithm of mining cube gradient online based on condensed cube, MCGOBC is proposed.
学术研究类的工作又进一步分为关系模型的扩展和面向数据立方的方法。
We further divide the academic efforts in two subcategories: the relational model extensions and the cube-oriented approaches. Finally, we try to make a comparative analysis of the various efforts.
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.
将梯度挖掘与联机分析处理集成，也符合用户在浏览数据立方时产生的挖掘兴趣。
That the mining of cube gradient is integrated into online analytical processing also accords with users' interest arising when browsing the data cube.
然后给出了库存数据仓库中相关的维表、度量、事实表以及整个数据立方的设计。
The dimension, the measure, the fact table, the muhidimension data and the data cubes of the system are also discussed in the article.
在Dimensionalmodel页中，您可以向数据立方中添加度量、维度和维度级别。
On the Dimensional Model page, you can add measures, dimensions, and dimension levels to the data cube.
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.
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.
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.
这种形式对大量的数据集合可能是有效的，因为这些表格必须只能包含实际有数据的数据立方单元。
This format is likely to be efficient for large data collections, since the tables must include only data cube cells that actually contain data.
约束立方梯度挖掘是一项重要的挖掘任务，其主要目的是从数据立方中挖掘出满足梯度约束的梯度-探测元组对。
Constrained cube gradient mining is an important mining task and its goal is to extract the pairs of gradient-probe cell satisfy the gradient constraint from 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.
根据完全计算数据立方和索引结构的特点，对基于基表的方案进行修改，演化出基于数据立方的一般型和层次预分组型两种优化方案。
According to the features of the completed computed cube and the index structure in the kernel system, two types of plans on the cube are put forward by modifying the plans on the base table.
这些多维的OLAP产品，即MOLAP产品，运行速度通常比其他方法更快，这是因为能直接把索引做进数据立方的结构，方便收集数据子集。
These multidimensional OLAP, or MOLAP, products typically run faster than other approaches, primarily because it's possible to index directly into the data cube's structure to collect subsets of data.
在研究了联机分析处理与数据挖掘集成的联机分析挖掘系统基础上，设计了基于达梦联机分析处理服务器的数据立方梯度联机挖掘工具DM_MCGOBC。
After the online analytical mining model is studied, an online cube gradient mining tool DM_MCGOBC is designed based on the online analytical processing server DM_OLAP.
根据英国石油公司的数据，这相当于北美350.8万亿立方英尺天然气储量的五倍多。
That’s more than five times the 350.8 trillion cubic feet of gas held in North America, according to BP.
这种传感器会获取并存储数据，同时将信息传回冰面的冰立方实验室。
The sensors acquire and store data as well as transmit information to the IceCube Laboratory on the surface.
数据查询表示立方体中的数据选择。
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