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US Patent 10915830 Multiscale method for predictive alerting

Patent 10915830 was granted and assigned to Oracle on February, 2021 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Oracle
Oracle
Current Assignee
Oracle
Oracle
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10915830
Date of Patent
February 9, 2021
Patent Application Number
15643179
Date Filed
July 6, 2017
Patent Citations
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US Patent 10210036 Time series metric data modeling and prediction
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US Patent 10073906 Scalable tri-point arbitration and clustering
Patent Citations Received
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US Patent 12001926 Systems and methods for detecting long term seasons
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US Patent 11537940 Systems and methods for unsupervised anomaly detection using non-parametric tolerance intervals over a sliding window of t-digests
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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
0
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US Patent 11928760 Systems and methods for detecting and accommodating state changes in modelling
0
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US Patent 11521017 Confident peak-aware response time estimation by exploiting telemetry data from different system configurations
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US Patent 11670020 Seasonal aware method for forecasting and capacity planning
0
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US Patent 11398959 Proactive routing using predicted path seasonality and trends for enhanced application experience
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US Patent 11836162 Unsupervised method for classifying seasonal patterns
0
Patent Primary Examiner
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David R Vincent
Patent abstract

Techniques are described for generating predictive alerts. In one or more embodiments, a seasonal model is generated, the seasonal model representing one or more seasonal patterns within a first set of time-series data, the first set of time-series data comprising data points from a first range of time. A trend-based model is also generated to represent trending patterns within a second set of time-series data comprising data points from a second range of time that is different than the first range of time. A set of forecasted values is generated based on the seasonal model and the trend-based model. Responsive to determining that a set of alerting thresholds has been satisfied based on the set of forecasted values, an alert is generated.

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