How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?
Nicolas GoixPublished in: CoRR (2016)
Keyphrases
- high quality
- learning algorithm
- orders of magnitude
- computational cost
- evolutionary algorithm
- theoretical analysis
- quality measures
- benchmark datasets
- machine learning algorithms
- optimization problems
- data structure
- high dimensional
- computational complexity
- computationally expensive
- times faster
- graph theory
- data sets