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Ad-hoc OLAP on Trajectory Data

机译:轨迹数据的临时OLAP

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摘要

The application of Data Warehousing (DW) and OLAP techniques on conventional data has been extensively studied in the literature. On the other hand, Trajectory Data Warehousing and Trajectory OLAP are relatively new research areas, which have to deal with the spatiotemporal (hence dynamic) nature of such data. In this paper, we present an innovative organization of a trajectory data cube in order to be able to answer OLAP queries considering different interpretations of the notion of trajectory. Thus, ad-hoc analysis on trajectory data cubes can be achieved, which can be really useful for a number of applications. Preliminary experimental results illustrate the applicability and efficiency of our approach.
机译:文献中已经广泛研究了数据仓库(DW)和OLAP技术在常规数据上的应用。另一方面,轨迹数据仓库和轨迹OLAP是相对较新的研究领域,必须处理此类数据的时空(因此是动态)性质。在本文中,我们提出了一种轨迹数据立方体的创新组织,以便能够考虑轨迹概念的不同解释来回答OLAP查询。因此,可以实现对轨迹数据多维数据集的即席分析,这对于许多应用程序确实非常有用。初步的实验结果说明了我们方法的适用性和有效性。

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