Combining Feature Selection and Feature Construction to Improve Concept Learning for High Dimensional Data.
Blaise HanczarPublished in: SARA (2005)
Keyphrases
- concept learning
- feature construction
- high dimensional data
- dimensionality reduction
- high dimensionality
- feature selection
- dimension reduction
- nearest neighbor
- high dimensional
- low dimensional
- data sets
- inductive logic programming
- data points
- data distribution
- linear discriminant analysis
- inductive learning
- data analysis
- learning algorithm
- machine learning
- feature space
- genetic programming
- feature extraction
- data representation
- rule learning
- background knowledge
- pattern recognition
- support vector
- training data
- neural network