On the evaluation of outlier detection and one-class classification: a comparative study of algorithms, model selection, and ensembles.
Henrique O. MarquesLorne SwerskyJörg SanderRicardo J. G. B. CampelloArthur ZimekPublished in: Data Min. Knowl. Discov. (2023)
Keyphrases
- model selection
- outlier detection
- distance based outlier detection
- cross validation
- high dimensional datasets
- data mining
- generalization error
- machine learning
- learning algorithm
- mixture model
- parameter estimation
- density estimation
- supervised learning
- detection algorithm
- machine learning algorithms
- least squares
- knowledge discovery
- classification accuracy
- fraud detection
- active learning
- generalization bounds
- marginal likelihood
- spatial outliers