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US Patent 11341169 Adaptive data clustering for databases

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Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11341169
Date of Patent
May 24, 2022
Patent Application Number
16655111
Date Filed
October 16, 2019
Patent Citations
‌
US Patent 10949825 Adaptive merchant classification
‌
US Patent 11176206 Incremental generation of models with dynamic clustering
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US Patent 10235453 Auto-classification system and method with dynamic user feedback
Patent Citations Received
‌
US Patent 11941010 Dynamic facet ranking
0
Patent Primary Examiner
‌
Greta L. Robinson
CPC Code
‌
G06F 16/2237
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G06N 20/10
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G06N 3/084
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G06N 3/0481
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G06F 16/285
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G06N 3/08
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G06K 9/6218
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G06K 9/6269
...

The present disclosure provides a method for generating a classification model in a database system. The method comprises generating a plurality of database tables by performing data clustering on a database, acquiring a plurality of queries associated with information from the database, generating training data by executing each of the plurality of queries on the plurality of database tables, and training a classification model using the training data, wherein the classification model is used to select a database table for a query based on corresponding performance information associated with the query on the database during executing of the query. The present disclosure also provides a method for executing a query on a database using a classification model. The method comprises obtaining the classification model, obtaining a database query, generating a target table by inputting the database query into the classification model, and executing the database query on the target table. In addition, the present disclosure provides database systems and non-transitory computer-readable media for generating a classification model or executing a query on a database using a classification model.

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