Explaining anomalies in groups with characterizing subspace rules.
Meghanath MachaLeman AkogluPublished in: Data Min. Knowl. Discov. (2018)
Keyphrases
- anomaly detection
- feature extraction
- feature space
- association rules
- subspace learning
- production rules
- principal components
- classification rules
- decision rules
- rule learning
- rule sets
- association rule mining
- dimensionality reduction
- principal component analysis
- background knowledge
- machine learning
- domain experts
- cluster analysis
- high dimensional data
- rough sets
- rule induction
- support vector
- rule discovery
- root cause
- anomalous behavior
- clustering high dimensional data