A dynamic ensemble outlier detection model based on an adaptive k-nearest neighbor rule.
Biao WangZhizhong MaoPublished in: Inf. Fusion (2020)
Keyphrases
- k nearest neighbor
- outlier detection
- knn
- nearest neighbor
- neural network
- detection algorithm
- detecting outliers
- feature selection
- knowledge discovery
- data streams
- knn classifier
- nearest neighbour
- classification algorithm
- density ratio estimation
- distance function
- knn algorithm
- data mining
- density estimation
- support vector machine
- text categorization
- random forests
- distance based outlier detection
- training data
- data analysis
- bootstrap sampling
- outlier mining
- detect outliers
- ensemble methods
- data sets
- low dimensional
- association rules