Ensemble Masked Autoencoder and Gaussian Mixture Models for Cardinality Estimation

In recent years, deep learning models have been employed for cardinality estimation in databases. These models can be categorized into query-driven and data-driven approaches. Query-driven methods rely on training queries and lack generalization ability, while data-driven methods infer cardinalities...

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Veröffentlicht in:	2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS) S. 1 - 7
Hauptverfasser:	Chen, Yimeng, Jia, Devin, Lei, Ying, Li, Bo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.09.2023
Schlagworte:	cardinality estimation Complex systems data-driven Deep learning Estimation Gaussian mixture model masked autoencoder Mixture models Training
Online-Zugang:	Volltext
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