Approximate Query Processing on High Dimensionality Database Tables Using Multidimensional Cluster Sampling View

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Approximate Query Processing on High Dimensionality Database Tables Using Multidimensional Cluster Sampling View

Approximate query processing based on random sampling is one of the most useful methods for the efficient computation of large quantities of data kept in databases. However, small samples obtained through random sampling methods might lack the appropriate data relevant to query conditions because th...

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Bibliographic Details
Main Authors:	Inoue, T., Krishna, Aneesh, Gopalan, Raj
Format:	Journal Article
Published:	2016
Online Access:	http://hdl.handle.net/20.500.11937/25472

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