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US Patent 11030521 Estimating cardinality selectivity utilizing artificial neural networks

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Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11030521
Date of Patent
June 8, 2021
Patent Application Number
15899746
Date Filed
February 20, 2018
Patent Citations
‌
US Patent 10706354 Estimating cardinality selectivity utilizing artificial neural networks
Patent Citations Received
‌
US Patent 11921719 Automated query selectivity predictions using query graphs
0
Patent Primary Examiner
‌
Wilbert L. Starks, Jr.
Patent abstract

A database query comprising predicates may be received. Each predicate may operate on database columns. The database query may be determined to comprise strict operators. An upper bound neural network may be defined for calculating an adjacent upper bound and a lower bound neural network may be defined for calculating an adjacent lower bound. The upper bound neural network and the lower bound neural network may be trained using a selected value from data of a database table associated with the database query to be executed through the upper bound neural network and the lower bound neural network. The upper bound neural network and the lower bound neural network may be adjusted by passing in an expected value using an error found in expressions. The adjacent lower bound and the adjacent upper bound may be calculated in response to completion of initial training for the database columns.

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