1 INTRODUCTION  
1.1 Anomaly detection  
1.2 Dimensionality reduction  
1.3 Outline  

2 THE CHALLENGES WITH ANOMALY DETECTION  
2.1 Anomaly detection method comparison  
2.2 Consistency and significance of the discovered anomalies  
2.3 Interpretability of the anomalies  
2.4 Unsupervised ML for high dimensional data  

3 FRAMEWORK FOR THE EXPLORATION OF UNSUPERVISED ML RESULTS  
3.1 Implementation details  
3.2 Use case I: Anomaly detection  
3.3 Use case II: Trend detection  

4 SUMMARY