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Research of data cubes computation based on joint relation set

机译:基于联合关系集的数据立方体计算研究

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Data cubes is the base of OLAP and OLAM. The traditional algorithms can transfer only one relation table to data cubes at the same time and have no choice but compute the data cubes one by one for relation set composed of several tables. A new algorithm of data cubes computation based on joint relation set is raised in this paper to save the construction time and storage spaces, which is more efficient than the traditional algorithms under the verification of experiments.
机译:数据多维数据集是OLAP和OLAM的基础。传统的算法可以同时仅将一个关系表传输到数据多方面,并且否选择一个逐个计算数据多维数据集,用于由多个表组成的关系集。在本文中提出了一种基于联合关系集的数据多维数据集计算算法,以节省施工时间和存储空间,比实验验证下的传统算法更有效。

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