Computer Science
3 years ago

Revolutionizing Anomaly Detection in Streaming Data with MOA Tool

Turkish Journal of Computer and Mathematics Education (TURCOMAT)
Anomaly Detection in Data streams using MOA
G. Sandhya Madhuri

Paper Summary

Anomaly detection in data streams is important for spotting unusual behavior in machines. Detecting anomalies in streaming data is challenging because the data is constantly changing and can be infinite. The MOA tool helps analyze which algorithm works best for detecting anomalies in data streams.

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