Bounded Approximate Query Processing

OLAP is a core functionality in database systems and the performance is crucial to enable on-time decisions. However, OLAP queries are rather time consuming, especially on large datasets, and traditional exact solutions usually cannot meet the high-performance requirement. Recently, approximate quer...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2019-12, Vol.31 (12), p.2262-2276
Hauptverfasser:	Li, Kaiyu, Zhang, Yong, Li, Guoliang, Tao, Wenbo, Yan, Ying
Format:	Artikel
Sprache:	eng
Schlagworte:	Agglomeration Algorithms approximate query processing Approximation Big Data bounded error Columns (structural) Computer science Data acquisition Data integration Datasets Error analysis Finance Histograms Queries Query languages Query processing sampling synopsis
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