A Fine-Tuned BERT-Based Model for Individual Log Anomaly Detection in Operational Monitoring at Paranal Observatory

Keyphrases

• Classification Performance 100%
• Computational Efficiency 100%
• Anomaly Detection 100%
• Paranal Observatory 100%
• BERT Model 100%
• Operational Monitoring 100%
• Log Anomaly Detection 100%
• Fine-tuned BERT 100%
• Preprocessing Techniques 50%
• Operational Data 50%
• Training Phase 50%
• F1 Score 50%
• Automated Method 50%
• Manual Inspection 50%
• Log-Based 50%
• Robust Solution 50%
• Deep Learning 50%
• Parsing 50%
• Combinatorial Classification 50%
• Astronomical Observatory 50%
• Operational Environment 50%
• Continuous Monitoring 50%
• Anomaly Detection System 50%
• Bidirectional Encoder Representations from Transformers 50%
• Observatory Operations 50%
• Sentiment Polarity 50%
• System Log 50%
• Character-based 50%
• Log Entry 50%
• Performance Efficiency 50%
• Semantic Element 50%
• Effective Throughput 50%
• Embedding Model 50%
• Scalable Solutions 50%
• High Stakes 50%
• Model Training 50%
• Technical Terms 50%
• Embedded Generation 50%
• Combined Embedding 50%
• Cross-instrument 50%

INIS

• detection 100%
• monitoring 100%
• data 50%
• performance 50%
• classification 50%
• architecture 25%
• datasets 25%
• learning 25%
• volume 25%
• environment 25%
• solutions 25%
• inspection 25%
• operation 25%
• efficiency 25%
• balances 25%
• tuning 25%
• transformers 25%

Computer Science

• Anomaly Detection 100%
• Bidirectional Encoder Representations From Transformers 100%
• Classification Performance 50%
• Training Phase 25%
• Operational Data 25%
• Computational Efficiency 25%
• Operational Environment 25%
• Deep Learning Method 25%
• Effective Throughput 25%
• Continuous Monitoring 25%