Min(d)ing the small details: discovery of critical knowledge through precision manifold learning, and application to onboard decision support.
Erzsébet MerényiLili ZhangKadim TasdemirPublished in: SoSE (2007)
Keyphrases
- decision support
- manifold learning
- knowledge discovery
- low dimensional
- decision support system
- dimensionality reduction
- nonlinear dimensionality reduction
- subspace learning
- expert systems
- high dimensional
- semi supervised
- knowledge management
- data warehouse
- dimension reduction
- decision makers
- feature extraction
- diffusion maps
- locality preserving
- data mining
- signal processing
- feature space
- manifold structure
- decision making
- neural network