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IEEE/ICACT20250023 Slide.16        [Big Slide]       [YouTube]	Oral Presentation
	After analysis, we observed that RNN detected 0 anomalies, demonstrating low performance in its current configuration. To enhance its effectiveness, it requires more advanced sequence preprocessing to fully exploit temporal dependencies in log data. DBSCAN is the most effective in terms of precision and handling false positives.Deep learning models require adjustments to improve effectiveness.

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