Outlier Detection

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Glossary

Anomalieerkennung

Anomalieerkennung ist der Prozess der Identifizierung von Datenpunkten, Ereignissen oder Mustern, die von der erwarteten Norm innerhalb eines Datensatzes abweichen. Häufig werden dabei KI und maschinelles Lernen für eine automatisierte, Echtzeit-Erkennung in Branchen wie Cybersicherheit, Finanzen und Gesundheitswesen eingesetzt.

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