Using Rough Sets to Improve the High-dimensional Data Anomaly Detection Method Based on Extended Isolation Forest.
Hanlin LiuJiantao ZhouHua LiPublished in: CSCWD (2023)
Keyphrases
- detection method
- rough sets
- high dimensional data
- data analysis
- rough set theory
- nearest neighbor
- dimensionality reduction
- detection algorithm
- high dimensional
- low dimensional
- granular computing
- high dimensionality
- rough sets theory
- data points
- fuzzy sets
- similarity search
- data mining
- decision rules
- attribute reduction
- data sets
- linear discriminant analysis
- subspace clustering
- pattern recognition
- missing values
- dominance relation
- fuzzy rough sets
- clustering high dimensional data
- data distribution
- input data
- genetic algorithm
- neural network
- feature space
- data structure
- approximation spaces
- image sequences
- image processing