首页|Patent Issued for Automatically-generated labels for time series data and numerical lists to use in analytic and machine learning systems (USPTO 11887015)
Patent Issued for Automatically-generated labels for time series data and numerical lists to use in analytic and machine learning systems (USPTO 11887015)
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A patent by the inventors Das, Sreeji Krishnan (Fremont, CA, US), Fahmy, Amr Fawzy (Foxboro, MA, US), Kumaresan, Dhileeban (Foster City, CA, US), Sutton, Eric L. (Redwood City, CA, US), Wong, Adrienne (Redwood City, CA, US), Yoon, Jae Young (San Mateo, CA, US), filed on April 23, 2020, was published online on January 30, 2024, according to news reporting originating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11887015 is assigned to Oracle International Corporation (Redwood Shores, California, United States). The following quote was obtained by the news editors from the background information supplied by the inventors: “A time series dataset is typically represented in two dimensions: one dimension representing time and another dimension representing numerical data points. For example, a time series dataset may track processor utilization of a server over a fixed window of time where each respective data point in the dataset indicates a respective measured utilization rate at a different point in time within the fixed window. These data points may provide useful information about the behavior of the underlying system, such as when the processor utilization rate is prone to spikes and drop offs. A monitoring system may be configure to track several other metric time series, such as memory throughput, active database sessions, input/output (I/O) operations, server requests, and server response times.
BusinessComputer Technology CompaniesCyborgsEmerging TechnologiesMachine LearningOracle International Corporation
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