Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection.
Hamed SarvariCarlotta DomeniconiBardh PrenkajGiovanni StiloPublished in: PAKDD (1) (2021)
Keyphrases
- outlier detection
- ensemble methods
- ensemble learning
- word sense induction
- base classifiers
- knowledge discovery
- density estimation
- high dimensional datasets
- data streams
- decision trees
- detection algorithm
- detecting outliers
- fraud detection
- data mining
- unsupervised learning
- decision stumps
- base learners
- semi supervised
- credit card fraud detection
- detect outliers
- density ratio estimation
- restricted boltzmann machine
- distance based outlier detection
- feature selection
- ensemble classifier
- random forests
- machine learning
- learning algorithm
- data sets
- weak classifiers
- databases
- cost sensitive
- multi class
- moving objects
- data analysis