Explicit Contrast Patterns Versus Minimal Jumping Emerging Patterns for Lazy Classification in High Dimensional Data.
Marzena KryszkiewiczPrzemyslaw PodsiadlyPublished in: IEA/AIE (2016)
Keyphrases
- jumping emerging patterns
- high dimensional data
- emerging patterns
- high dimensionality
- high dimensional
- closed patterns
- dimensionality reduction
- dimension reduction
- low dimensional
- nearest neighbor
- data analysis
- subspace clustering
- data distribution
- manifold learning
- data sets
- data points
- clustering high dimensional data
- sparse data
- similarity search
- original data
- small sample size
- feature space
- pattern mining
- linear discriminant analysis
- high dimensional datasets
- high dimensional spaces
- itemsets
- input data
- pattern recognition
- feature vectors
- decision trees
- mining frequent
- image processing
- multi dimensional
- variable weighting
- feature selection