Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective.
Shebuti RayanaWen ZhongLeman AkogluPublished in: CoRR (2016)
Keyphrases
- outlier detection
- ensemble learning
- bias variance
- trade off
- generalization ability
- ensemble methods
- random forest
- detection algorithm
- detect outliers
- knowledge discovery
- ensemble classifier
- data streams
- data mining
- concept drift
- detecting outliers
- base classifiers
- support vector machine svm
- multi class
- prior knowledge
- data analysis
- training data
- learning algorithm
- real world
- data sets