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IEEE/ICACT20250023 Slide.03        [Big Slide]       [YouTube]	Oral Presentation
	Machine learning algorithms are selected for their ability to handle large datasets and identify anomalies by learning patterns from normal data. Isolation Forest isolates anomalies by partitioning data. DBSCAN detects anomalies by identifying isolated points in low-density regions. One-Class SVM trains a model only on normal data, making it effective in detecting deviations. Conclusion: These algorithms enable fast and effective anomaly detection in Android logs.

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