CSCAD: Correlation Structure-based Collective Anomaly Detection in Complex System

@article{Qin2021CSCADCS,
  title={CSCAD: Correlation Structure-based Collective Anomaly Detection in Complex System},
  author={Huiling Qin and Xianyuan Zhan and Yu Zheng},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.14476}
}
Detecting anomalies in large complex systems is a critical and challenging task. The difficulties arise from several aspects. First, collecting ground truth labels or prior knowledge for anomalies is hard in real-world systems, which often leads to limited or no anomaly labels in the dataset. Second, anomalies in large systems usually occur in a collective manner due to the underlying dependency structure among devices or sensors. Lastly, real-time anomaly detection for high-dimensional data… 

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