A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees.
Sergio Ramírez-GallegoSalvador GarcíaJosé Manuel BenítezFrancisco HerreraPublished in: CORES (2015)
Keyphrases
- decision trees
- constructive induction
- feature selection
- multivariate decision trees
- machine learning
- continuous valued attributes
- supervised learning
- naive bayes
- decision tree induction
- learning algorithm
- black box
- numeric attributes
- predictive accuracy
- case study
- feature construction
- genetic algorithm
- random forest
- decision tree learning
- evolutionary optimization
- semi supervised
- decision rules
- evolutionary computation
- data mining methods
- machine learning algorithms
- discretization method
- continuous attributes
- regression model
- decision tree algorithm
- unsupervised learning
- multivariate data
- training data
- evolutionary process
- mixed data
- iterative refinement
- attribute selection
- data sets
- classification trees
- regression trees
- naive bayes classifier
- rule induction
- multiple instance learning
- classification models
- ensemble methods
- classification rules
- text categorization
- genetic programming
- domain specific
- computational intelligence
- support vector machine
- training set
- preprocessing