Unsupervised anomaly detection algorithms on real-world data: how many do we need?
Roel BoumanZaharah BukhshTom HeskesPublished in: CoRR (2023)
Keyphrases
- computational complexity
- recently developed
- data structure
- learning algorithm
- theoretical analysis
- computationally efficient
- combinatorial optimization
- orders of magnitude
- benchmark datasets
- significant improvement
- optimization problems
- computationally expensive
- computational efficiency
- machine learning algorithms
- anomaly detection
- database
- training set
- search algorithm
- feature extraction
- genetic algorithm
- real world
- neural network