Supervised outlier detection for classification and regression.
Ángela FernándezJuan BellaJosé R. DorronsoroPublished in: Neurocomputing (2022)
Keyphrases
- outlier detection
- credit card fraud detection
- density estimation
- unsupervised learning
- supervised learning
- support vector
- detection algorithm
- learning algorithm
- model selection
- density ratio estimation
- classification accuracy
- feature extraction
- decision trees
- feature selection
- data streams
- detect outliers
- machine learning
- feature vectors
- fraud detection
- distance based outlier detection
- support vector machine
- data mining
- high dimensional datasets
- semi supervised
- cross validation
- least squares
- data sets
- knowledge discovery
- k means
- real world