CPC G06N 3/0895 (2023.01) [A61B 5/02422 (2013.01); G01W 1/10 (2013.01); G06F 18/214 (2023.01); H04L 43/067 (2013.01); H04L 43/0817 (2013.01)] | 23 Claims |
1. A method of detecting an abnormality in time series data, the method being performed in a computing device including one or more processors and a memory storing one or more programs executed by the one or more processors, the method comprising:
first masking to cover a portion of input time series data with a mask;
generating first-restored time series data in which the time series data is restored by inputting the first-masked time series data to a generator;
calculating a difference between the first-restored time series data and original time series data;
second masking to cover a portion of the time series data with a mask on basis of the calculated difference; and
generating second-restored time series data in which the time series data is restored by inputting the second-masked time series data to the generator.
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