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US Patent 11301351 Machine learning based data monitoring

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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
11301351
Patent Inventor Names
Lukasz G. Cmielowski0
Wojciech Sobala0
Rafal Bigaj0
Maksymilian Erazmus0
Date of Patent
April 12, 2022
Patent Application Number
16832215
Date Filed
March 27, 2020
Patent Citations
‌
US Patent 10331657 Contention analysis for journal-based databases
‌
US Patent 10270668 Identifying correlated events in a distributed system according to operational metrics
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US Patent 11227162 Multilayer information dynamics for activity and behavior detection
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US Patent 10346434 Partitioned data materialization in journal-based storage systems
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US Patent 10198346 Test framework for applications using journal-based databases
Patent Citations Received
‌
US Patent 11704220 Machine learning based data monitoring
0
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US Patent 11968130 Real-time adjustment of resource allocation based on usage mapping via an artificial intelligence engine
0
Patent Primary Examiner
‌
Mohammad K Islam
CPC Code
‌
G06K 9/6262
‌
G06N 20/00
‌
G06F 11/3452
‌
G06F 17/15
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G06F 11/3409
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G06F 2201/87

An overall performance metric of a computer system may be determined for each bin of the set of analysis bins. In case one or more bins of the set of analysis bins do not have at least a predefined minimum number of records, a new set of analysis bins may be redefined by joining analysis bins of the set of analysis bins. For each bin of the redefined set of bins a machine learning (ML) performance metric of the ML model may be computed. The ML performance metric may be estimated for the set of analysis bins using the ML performance metrics of the redefined bins. The computer system may be configured based on a correlation over the set of analysis bins between the computed overall performance metric and the ML performance metric.

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