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Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs

Log-based Anomaly Detection with Deep Learning: How Far Are We?

LogGD: Detecting Anomalies from System Logs with Graph Neural Networks

A review of time-series anomaly detection techniques: a step to future perspectives

Log-based Anomaly Detection Without Log Parsing

Anomaly detection via mining numerical workflow relations from logs

VMGuard: A VMI-based Security Architecture for Intrusion Detection in Cloud Environment

Investigating the effects of varying cluster numbers on anomalies detected in mining machines

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