On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining.
José Ramón CanoFrancisco HerreraManuel LozanoPublished in: Appl. Soft Comput. (2006)
Keyphrases
- evolutionary algorithm
- data mining
- training set
- multi objective
- selection strategies
- differential evolution
- evolutionary computation
- stratified sampling
- training data
- data sets
- optimization problems
- data mining algorithms
- search strategies
- sampling strategies
- test set
- multi objective optimization
- particle swarm optimization
- nearest neighbor
- knowledge discovery
- data mining methods
- classification algorithm
- real world
- pattern mining
- training samples
- data mining techniques
- crossover operator
- data warehouse
- classification accuracy
- active learning
- genetic operators
- data mining applications
- selection strategy
- association rule mining
- cross validation
- fitness function
- business intelligence
- test data
- machine learning
- simulated annealing
- genetic algorithm
- data analysis
- evolutionary artificial neural networks
- evolutionary search
- evolutionary process
- differential evolution algorithm
- association rules
- mutation operator
- supervised learning
- active appearance models
- web intelligence
- optimization algorithm