MStream and MIDAS are more accurate than previous baselines for unsupervised anomaly detection. However, there can be scenarios where some labels (ground truth information) are known. In such cases, a semi-supervised algorithm might work better. We are currently working towards building a semi-supervised approach for anomaly detection in real-time.
To the best of my knowledge, MStream and MIDAS are the fastest and detect anomalies in real-time.
To the best of my knowledge, MStream and MIDAS are the fastest and detect anomalies in real-time.