• 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。

    youdao

  • 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。

    youdao

  • 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。

    youdao

  • 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。

    youdao

  • 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。

    youdao

  • 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。

    youdao

  • 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。

    youdao

  • 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。

    youdao

  • 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。

    youdao

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