Data Analysis and Pattern Recognition
Machine Learning Applications
- Supervised learning for known threat detection
- Unsupervised learning for anomaly identification
- Deep learning for complex pattern recognition
- Natural language processing for log analysis
Statistical Analysis Techniques
- Time series analysis for trend identification
- Clustering analysis for grouping similar events
- Frequency analysis for outlier detection
- Correlation analysis for relationship identification