Data Reduction for Network Forensics Using Manifold Learning.
Tao PengXiaosu ChenHuiyu LiuKai ChenPublished in: DBTA (2010)
Keyphrases
- manifold learning
- data reduction
- dimensionality reduction
- data compression
- nonlinear dimensionality reduction
- semi supervised
- low dimensional
- high dimensional
- high dimensional data
- feature extraction
- feature selection
- dimension reduction
- data analysis
- high dimensionality
- preprocessing
- classification rules
- rough set theory
- data mining
- sparse representation
- data sets
- model selection
- decision rules
- databases
- principal component analysis
- knowledge discovery
- classification accuracy
- feature space
- data quality
- training data