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Evaluating Algorithms for TOPOLOGICAL ROLLUP in XML-OLAP

机译:XML-OLAP中的拓扑汇总评估算法

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The essence of XML data is the interchange of electronic data between data sources on the web. Therefore, XML is playing an important role in data storage and transmission. Whereas wide spectrum of data is represented in XML format, complex analysis on XML data becomes progressively important. To respond to the demand, we have proposed a system for XML data analysis adopting the features of OLAP system which we call XML-OLAP. Recently, we migrate our research to structure-based grouping for our XML-OLAP system that is TOPOLOGICAL ROLLUP. Based on the well-known algorithms of Structural Join, we proposed some algorithms for TOPOLOGICAL ROLLUP, namely Top-Down, Bottom-UP, and Single Scan by Preorder/Postorder number. In this paper, we will describe the algorithms, evaluation on the proposed algorithms, and show their performance with synthesized data varying by some features which enable us to make proper assessment.
机译:XML数据的本质是Web上数据源之间的电子数据交换。因此,XML在数据存储和传输中起着重要的作用。尽管以XML格式表示了各种各样的数据,但是对XML数据的复杂分析变得越来越重要。为了满足需求,我们提出了一种采用OLAP系统功能的XML数据分析系统,我们称之为XML-OLAP。最近,我们将我们的研究迁移到XML-OLAP系统TOPOLOGICAL ROLLUP的基于结构的分组。基于著名的结构连接算法,我们提出了一些拓扑汇总算法,即自上而下,自下而上和按预序/后序单次扫描。在本文中,我们将对算法进行描述,并对提出的算法进行评估,并通过具有某些特征的综合数据展示其性能,从而使我们能够进行适当的评估。

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