Combining Multiple Sets of Rules for Improving Classification Via Measuring Their Closenesses.
Yaxin BiShengli WuXuming HuangGongde GuoPublished in: PRICAI (2006)
Keyphrases
- combining multiple
- multiple classifiers
- decision rules
- rule sets
- classification rules
- combining classifiers
- classification accuracy
- rule extraction
- text classification
- rule learning
- decision trees
- fusion framework
- fusion methods
- individual classifiers
- rule discovery
- generalization ability
- classification algorithm
- background knowledge
- class labels
- supervised learning
- training set
- feature space
- pattern recognition
- benchmark data sets
- unsupervised learning
- support vector machine
- support vector
- multiscale