Outlier detection and ranking based on subspace clustering.
Thomas SeidlEmmanuel MüllerIra AssentUwe SteinhausenPublished in: Uncertainty Management in Information Systems (2008)
Keyphrases
- outlier detection
- subspace clustering
- high dimensional data
- subspace clusters
- clustering method
- high dimensional datasets
- high dimensional
- knowledge discovery
- clustering algorithm
- density ratio estimation
- detection algorithm
- detecting outliers
- fraud detection
- detect outliers
- data mining
- high dimensionality
- density estimation
- credit card fraud detection
- subspace projections
- distance based outlier detection
- multi dimensional data
- data streams
- data sets
- input data
- multi dimensional
- pattern recognition
- databases
- database