Selectivity estimation using artificial neural networks

In an approach for generating a selectivity estimation, one or more processors generate an artificial neural network and receive a DBMS query comprising one or more predicates. One or more processors replace one or more predicates in the one or more predicates that have strict operators with one or...

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Bibliographische Detailangaben

Hauptverfasser:	Corvinelli, Vincent, Xu, Mingbin, Zuzarte, Calisto P, Yu, Ziting, Liu, Huaxin
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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