- Introduction
- Tools
- Parametric methods
- Quantile and depth-based methods
- Density-based methods
- Distance-based methods
- High-dimensional methods
- Non-Euclidean spaces
- Time series anomalies
- Spatial, network and graph data
- Functional data (see https://github.com/otsegun/fdaoutlier)
- Video data
- Categorical and text data
- Distributional observations
- Deep learning for anomaly detection
- Applications: network intrusion, fraud detection
- Handling very large data sets
To include somewhere:
- Isolation forests??
- subspace, correlation-based and tensor-based methods
- Cluster analysis?
- Ensemble methods