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Arxiv
2d
184
Image Credit: Arxiv
Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series
- Anomaly detection (AD) is crucial for identifying deviations in data across various domains.
- Real-time AD is in demand due to the increase in multivariate sensor data from the (Industrial) Internet of Things.
- DAD is a new real-time decorrelation-based anomaly detection method for multivariate time series.
- Experiments show that DAD outperforms state-of-the-art methods in detecting anomalies in high-dimensional data streams.
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