Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study

no code implementations • 7 Sep 2024 • Lingzhe Zhang, Tong Jia, Kangjin Wang, Mengxi Jia, Yang Yong, Ying Li

Experimental outcomes highlight LogCleaner's capability to reduce over 70% of log events in anomaly detection, accelerating the model's inference speed by approximately 300%, and universally improving the performance of models for anomaly detection.

Anomaly Detection