Instance Selection in Logical Rule Extraction for Regression Problems.
Miroslaw KordosSzymon BialkaMarcin BlachnikPublished in: ICAISC (2) (2013)
Keyphrases
- regression problems
- rule extraction
- instance selection
- feature selection
- classification rules
- genetic programming
- data reduction
- nearest neighbor
- support vector machine
- text classification
- linear regression
- neural network
- cross validation
- high dimensional data
- rough sets
- classification accuracy
- rough set theory
- input space
- multi class
- supervised learning
- random forests
- association rules
- multi task
- fuzzy rules
- k nearest neighbor
- machine learning
- rule sets
- support vector
- semi supervised learning
- genetic algorithm
- rule induction
- artificial neural networks
- data analysis
- preprocessing
- hyperparameters
- feature space
- knn
- decision rules
- naive bayes
- evolutionary algorithm
- model selection
- labeled data
- text categorization