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US Patent 11803773 Machine learning-based anomaly detection using time series decomposition

OverviewStructured DataIssuesContributors
Is a
Patent
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
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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