Abstract: Feature matching methods for unsupervised anomaly detection have demonstrated impressive performance. Existing methods primarily rely on self-supervised training and handcrafted matching ...
Abstract: Automatic anomaly detection based on database logs is an approach for ensuring the security and reliability of modern database management systems. This systematic literature review, which is ...
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