On the utility of imprecise rules induced by MLEM2 in classification.
Takuya HamakawaMasahiro InuiguchiPublished in: GrC (2014)
Keyphrases
- rule induction
- classification rules
- decision rules
- rule sets
- pattern recognition
- rule extraction
- rule learning
- decision trees
- feature selection
- automatic classification
- feature vectors
- machine learning
- associative classification
- rule generation
- classification process
- classification scheme
- classification algorithm
- associative classifiers
- feature extraction
- supervised learning
- support vector machine
- support vector machine svm
- benchmark datasets
- classification method
- support vector
- rule discovery
- preprocessing
- feature space
- training set
- data mining
- text classification
- association rules
- classification systems
- classification accuracy
- probability distribution
- pattern classification
- semi supervised
- fuzzy rules
- image classification
- error rate