On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations

Xiaoxue Ma, Huiqi Zou, Pinjia He +4

Numerous Deep Learning (DL)-based approaches have gained attention in software Log Anomaly Detection (LAD), yet class imbalance in training data remains a challenge, with anomalies…