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US Patent 11645293 Anomaly detection in big data time series analysis

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
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Date Filed
December 10, 2019
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Date of Patent
May 9, 2023
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Patent Application Number
16708605
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Patent Citations
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US Patent 10127695 Method for creating period profile for time-series data with recurrent patterns
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US Patent 10165457 System and method for root cause analysis of call failures in a communication network
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US Patent 10198339 Correlation-based analytic for time-series data
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US Patent 10210036 Time series metric data modeling and prediction
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US Patent 10210038 Tuning context-aware rule engine for anomaly detection
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US Patent 10289473 Situation analysis
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US Patent 10397810 Fingerprinting root cause analysis in cellular systems
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US Patent 10489363 Distributed FP-growth with node table for large-scale association rule mining
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US Patent 10515079 Auto tuning data anomaly detection
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US Patent 10637744 Complementary workflows for identifying one-hop network behavior and multi-hop network dependencies
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•••
Patent Citations Received
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US Patent 12118077 Feature extraction and time series anomaly detection over dynamic graphs
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US Patent 11934536 Dynamic network risk predicting method based on a graph neural network
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Patent Inventor Names
Fabrice Pelloin
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
11645293
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Patent Primary Examiner
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Mariela Reyes
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CPC Code
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G06F 17/142
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G06F 16/252
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G06N 5/04
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G06N 20/00
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G06F 16/182
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G06F 16/2379
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G06F 16/2474
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