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Automatic peak interval, relative volatility, and relative amplitude detection in high-volume temporal data

United States Patent

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May 28, 2019
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Various technologies pertaining to automatic relative volatility and relative amplitude detection are described herein. A spectral density of a geospatial temporal dataset is computed, and one or more frequencies of the dataset are identified. A volatility period of interest is calculated based upon the frequencies, and volatility thresholds are computed based upon the volatility period of interest. One or more periods of potential interest are detected in the dataset based upon the geospatial temporal data and the volatility thresholds. An indication of the periods of interest, an occurrence of an event captured in the dataset, or a prediction of an occurrence of an event that is of potential interest to an analyst is output.
March 22, 2016
G06F 17/40 (20060101); G06F 17/50 (20060101);
STATEMENT OF GOVERNMENTAL INTEREST This invention was developed under Contract DE-AC04-94AL85000 between Sandia Corporation and the U.S. Department of Energy. The U.S. Government has certain rights in this invention.