A Fast Randomized Method for Local Density-Based Outlier Detection in High Dimensional Data.
Minh Quoc NguyenEdward OmiecinskiLeo MarkDanesh IraniPublished in: DaWak (2010)
Keyphrases
- outlier detection
- high dimensional datasets
- high dimensional data
- detection algorithm
- clustering method
- data sets
- input data
- subspace clustering
- credit card fraud detection
- dimensionality reduction
- dimensional data
- nearest neighbor
- data points
- high dimensional data sets
- similarity measure
- outlier mining
- data mining
- neural network
- fraud detection
- clustering high dimensional data
- density based clustering
- feature set
- query processing
- high dimensional
- pairwise
- pattern recognition
- data structure
- feature extraction
- computer vision
- machine learning