Self-Supervised Log Anomaly Detection with LogBERT-Style Transformers: Full Empirical Evaluation on a Reproducible SynHDFS Benchmark

Log-based anomaly detection is a core problem in AIOps because system logs provide fine-grained evidence of failures, performance regressions, and security incidents. Recent work has shown that self-supervised sequence modeling substantially improves generalization compared with purely frequency-bas...

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מחבר ראשי:	Qi Xin
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Universitas Bhayangkara Surabaya 2026-05-01
סדרה:	Journal of Electrical Engineering and Computer Sciences
נושאים:	aiops bert log anomaly detection self-supervised learning transformer
גישה מקוונת:	https://ejournal.ubhara.ac.id/index.php/jeecs/article/view/1696
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!