Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data.
Hans-Peter KriegelPeer KrögerErich SchubertArthur ZimekPublished in: PAKDD (2009)
Keyphrases
- high dimensional data
- outlier detection
- axis parallel
- nearest neighbor
- decision boundary
- data points
- low dimensional
- high dimensional datasets
- hyperplane
- high dimensional
- data analysis
- dimensionality reduction
- similarity search
- knowledge discovery
- data sets
- detection algorithm
- data streams
- input space
- subspace clustering
- data mining
- data distribution
- high dimensionality
- high dimensional spaces
- neural network
- kernel function
- active learning
- feature space
- pattern recognition