After the model design, the multi-dimensional database has been applied.
在模型设计完成后，在多维数据库中进行了应用。
And describes a way to form a data market through multi-dimensional database combined with a practical case.
阐述了数据集市的基本概念，并结合实际例子探讨了一种用多维数据库实现数据集市的方法。
Explicates the basic theory and concept of data market. And describes a way to form a data market through multi-dimensional database combined with a practical case.
阐述了数据集市的基本概念，并结合实际例子探讨了一种用多维数据库实现数据集市的方法。
This paper analyzes the problems and factors which affect the container multimodal transportation and then produces the multi-dimensional database technology and related technology.
文章首先对集装箱多式联运中所涉及的问题，影响的因素进行了分析，然后对多维数据库与相关技术进行了简单的介绍。
For best performance and minimal space consumption, we recommend using database partitioning, range partitioning, compression, and multi-dimensional clustering.
为了获得更好的性能和最小化空间消耗，我们建议使用数据库分区、范围分区、压缩和多维集群。
Based on the strict concept of data warehouse, the relations between data warehouse and multi dimensional database and the performances of data warehouse are explained.
在严格数据仓库概念基础上，说明了数据仓库与多维数据库之间关系及数据仓库的特性和优势。
The existing indexing technology of databases doesn t adapt to the retrieval of multi-dimensional space, especially the content-based retrieval on large multimedia database.
现有的数据库索引技术，普遍不能适应多维空间属性的搜索，特别是无法对大容量的多媒体数据进行基于内容的检索。
The design meets all anticipation, and has good performance in quick response and multi-dimensional analysis, which ensures its operation in OLAP on database.
本文设计的方案完全可以达到预期的要求，具有较好的快速响应性能和多维分析性能，能有效地完成数据仓库的OLAP操作。
As the digitalization technology and database technology advanced recent years, data mining techniques that focus on multi-dimensional time series attracts more and more researchers.
近年来，随着数据库技术以及数字化技术的不断进步，针对高维时间序列的数据挖掘研究引起了越来越多学者广泛的兴趣。
As the digitalization technology and database technology advanced recent years, data mining techniques that focus on multi-dimensional time series attracts more and more researchers.
近年来，随着数据库技术以及数字化技术的不断进步，针对高维时间序列的数据挖掘研究引起了越来越多学者广泛的兴趣。
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