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US Patent 9323599 Time series metric data modeling and prediction

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
Date Filed
July 31, 2015
Date of Patent
April 26, 2016
Patent Application Number
14814815
Patent Citations Received
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US Patent 12001926 Systems and methods for detecting long term seasons
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US Patent 11860971 Anomaly detection
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US Patent 11887015 Automatically-generated labels for time series data and numerical lists to use in analytic and machine learning systems
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US Patent 11929869 Scalable and real-time anomaly detection
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US Patent 11928760 Systems and methods for detecting and accommodating state changes in modelling
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US Patent 11949703 Systems and methods for multivariate anomaly detection in software monitoring
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US Patent 11670020 Seasonal aware method for forecasting and capacity planning
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US Patent 11803773 Machine learning-based anomaly detection using time series decomposition
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US Patent 11836162 Unsupervised method for classifying seasonal patterns
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US Patent 11853041 Anomaly detection device, anomaly detection method, and recording medium
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Patent Inventor Names
Arjun Iyer
0
Yuchen Zhao
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
9323599
Patent Primary Examiner
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Dieu-Minh Le

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