Unsupervised Boosting-based Autoencoder Ensembles for Outlier Detection.
Hamed SarvariCarlotta DomeniconiBardh PrenkajGiovanni StiloPublished in: CoRR (2019)
Keyphrases
- outlier detection
- ensemble methods
- ensemble learning
- word sense induction
- base classifiers
- knowledge discovery
- fraud detection
- detection algorithm
- data streams
- decision stumps
- high dimensional datasets
- detect outliers
- base learners
- density estimation
- unsupervised learning
- detecting outliers
- credit card fraud detection
- ensemble classifier
- restricted boltzmann machine
- learning algorithm
- data mining
- multi class
- supervised learning
- semi supervised
- random forests
- feature selection
- real world
- outlier mining
- change point detection
- decision trees
- database