An overview and a benchmark of active learning for outlier detection with one-class classifiers.
Holger TrittenbachAdrian EnglhardtKlemens BöhmPublished in: Expert Syst. Appl. (2021)
Keyphrases
- outlier detection
- active learning
- class imbalance
- detection algorithm
- high dimensional datasets
- knowledge discovery
- fraud detection
- density estimation
- training examples
- detecting outliers
- data mining
- density ratio estimation
- credit card fraud detection
- semi supervised
- learning algorithm
- machine learning
- detect outliers
- outlier mining
- distance based outlier detection
- semi supervised learning
- supervised learning
- unlabeled data
- labeled data
- change point detection
- learning process
- databases
- cost sensitive
- association rules
- data streams
- real world