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Exploiting Machine Learning Models for Approximate Query Processing

Published in 2022 IEEE International Conference on Big Data (Big Data) • Dec 17, 2022
NobleIDNI4P77W12R60S14
Authors:
Taewhi Lee
,
Ki-Hyuk Nam
,
Choon Seo Park

Abstract

Approximate query processing can help reduce response time for aggregate queries in exploratory data analysis. In this study, we describe basic query transformation rules for processing approximate queries using synthetic data tables or inferential models. Based on the preliminary experimental resul...

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