GAN-Based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions

GAN-Based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions

In data-driven systems, data exploration is imperative for making real-time decisions. However, big data are stored in massive databases that are difficult to retrieve. Approximate Query Processing (AQP) is a technique for providing approximate answers to aggregate queries based on a summary of the...

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Bibliographic Details
Main Authors:	Mohammadali Fallahian, Mohsen Dorodchi, Kyle Kreth
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Machine Learning and Knowledge Extraction
Subjects:	generative adversarial network (GAN) approximate query processing (AQP) data synopsis tabular data generators database systems data-driven decision-making systems
Online Access:	https://www.mdpi.com/2504-4990/6/1/10

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