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US Patent 11803773 Machine learning-based anomaly detection using time series decomposition
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Patent
Date Filed
July 30, 2019
Date of Patent
October 31, 2023
Patent Application Number
16526103
Patent Citations
US Patent 9323599 Time series metric data modeling and prediction
US Patent 10102056 Anomaly detection using machine learning
US Patent 10972491 Anomaly detection with missing values and forecasting data streams
US Patent 10248533 Detection of anomalous computer behavior
US Patent 10990891 Predictive modeling for aggregated metrics
US Patent 7783510 Computer storage capacity forecasting system using cluster-based seasonality analysis
US Patent 7904330 Event type estimation system, event type estimation method, and event type estimation program stored in recording media
Patent Inventor Names
Peter Beale
Zachary W. Arnold
Bina K. Thakkar
Patent Jurisdiction
United States Patent and Trademark Office
Patent Number
11803773
Patent Primary Examiner
Gabriel Chu
CPC Code
H04L 43/0823
H04L 43/0852
G06F 11/3072
G06F 11/0781
G06F 11/3006
H04L 43/08
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