US Patent 11860971 Anomaly detection
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US Patent 11860971 Anomaly detection
Article
Patent abstract
According to an embodiment of the present invention, an approach accurately detects anomalies or outliers of a time-series dataset. A method for identifying whether a particular data element of the time-series dataset is an outlier comprises predicting a value for that particular data element and obtaining a threshold value that defines, relative to the predicted value, whether an actual value of the data element is an outlier. In an aspect of a present invention embodiment, the threshold value is generated based on historic error values associated with data elements temporally preceding the particular data element of the time-series dataset.
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Patent Inventor Names
Bora Caglayan0
Faisal Ghaffar0
Hitham Ahmed Assem Aly Salama0
Teodora Buda0
Date of Patent
January 2, 2024
0Patent Application Number
159885060
Date Filed
May 24, 2018
0Patent Citations
Patent Primary Examiner
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