An Ensemble Learning Approach Based on Rough Set Preserving the Qualities of Approximations.
Seiki UbukataTaro MiyazakiAkira NotsuKatsuhiro HondaMasahiro InuiguchiPublished in: IUKM (2015)
Keyphrases
- ensemble learning
- rough sets
- upper and lower approximations
- rough set theory
- generalization ability
- ensemble methods
- decision rules
- base classifiers
- random forest
- data mining
- attribute reduction
- concept drift
- data analysis
- pattern recognition
- decision table
- data sets
- unlabeled data
- fuzzy logic
- multi class
- k nearest neighbor
- text categorization
- back propagation
- semi supervised
- support vector
- feature selection
- artificial intelligence
- learning algorithm
- fuzzy rough sets