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US Patent 11921719 Automated query selectivity predictions using query graphs
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Patent
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Date Filed
September 14, 2022
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Date of Patent
March 5, 2024
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Patent Application Number
17931963
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Patent Citations
US Patent 10942923 Deep learning for optimizer cardinality estimation
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US Patent 11030521 Estimating cardinality selectivity utilizing artificial neural networks
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US Patent 11416487 Data-driven checkpoint selector
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US Patent 11755576 Data-driven task-execution scheduling using machine learning
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US Patent 11625398 Join cardinality estimation using machine learning and graph kernels
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US Patent 11853301 Sharing compiled code for executing queries across query engines
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US Patent 10303688 System and method for reducing data retrieval delays via prediction-based generation of data subgraphs
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US Patent 10643132 Cardinality estimation using artificial neural networks
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Patent Inventor Names
Vincent Corvinelli
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Calisto Zuzarte
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Mohammed Fahd Alhamid
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Patent Jurisdiction
United States Patent and Trademark Office
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Patent Number
11921719
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Patent Primary Examiner
Merilyn P Nguyen
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CPC Code
G06F 16/2246
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