Revisiting streaming anomaly detection: benchmark and evaluation
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DOI: 10.1007/s10462-024-10995-w
Abstract: Anomaly detection in streaming data is an important task for many real-world applications, such as network security, fraud detection, and system monitoring. However, streaming data often exhibit concept drift, which means that the data distribution… read more here.
Keywords: detection; detection streaming; anomaly detection; streaming data ... See more keywords