A feature construction approach for genetic iterative rule learning algorithm.
David GarcíaAntonio González MuñozRaúl PérezPublished in: J. Comput. Syst. Sci. (2014)
Keyphrases
- feature construction
- rule learning
- learning algorithm
- machine learning
- learning scheme
- supervised learning
- concept learning
- target concept
- genetic programming
- relational learning
- rule sets
- data representation
- decision trees
- training data
- inductive logic programming
- active learning
- genetic algorithm
- learning problems
- subgroup discovery
- decision rules
- positive and negative
- reinforcement learning
- data mining
- learning tasks
- classification rules
- training examples
- dimension reduction
- inductive learning
- machine learning algorithms
- feature selection
- sample complexity
- knowledge acquisition
- association rules
- feature extraction