Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective.
Shebuti RayanaWen ZhongLeman AkogluPublished in: ICDM (2016)
Keyphrases
- outlier detection
- ensemble learning
- bias variance
- trade off
- data streams
- ensemble methods
- generalization ability
- concept drift
- detect outliers
- detecting outliers
- detection algorithm
- knowledge discovery
- random forest
- unlabeled data
- base classifiers
- data mining
- ensemble classifier
- low variance
- prediction accuracy
- active learning
- prior knowledge
- training data
- feature selection
- data sets