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Summary Data Structures for Massive Data

机译:海量数据的摘要数据结构

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摘要

Prompted by the need to compute holistic properties of increasingly large data sets, the notion of the "summary" data structure has emerged in recent years as an important concept. Summary structures can be built over large, distributed data, and provide guaranteed performance for a variety of data summarization tasks. Various types of summaries are known: summaries based on random sampling; summaries formed as linear sketches of the input data; and other summaries designed for a specific problem at hand.
机译:由于需要计算越来越大的数据集的整体属性,近年来,“摘要”数据结构的概念作为一个重要概念出现了。摘要结构可以建立在大型的分布式数据之上,并为各种数据摘要任务提供有保证的性能。已知各种类型的摘要:基于随机采样的摘要;以及摘要形成为输入数据的线性草图;和其他针对特定问题的摘要。

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