Improving Multi-label Classifiers via Label Reduction with Association Rules.
Francisco CharteAntonio Jesús Rivera RivasMaría José del JesusFrancisco HerreraPublished in: HAIS (2) (2012)
Keyphrases
- multi label
- multi label classification
- association rules
- associative classification
- class labels
- multilabel classification
- text categorization
- image classification
- image annotation
- label space
- graph cuts
- multiple labels
- binary classification
- multi label learning
- text classification
- multi instance
- data mining
- classifier training
- knowledge discovery
- naive bayes
- max margin
- itemsets
- support vector
- training data
- decision trees
- classification algorithm
- hierarchical text categorization
- label propagation
- multiclass classification
- label assignment
- multi label image annotation
- binary classifiers
- svm classifier
- semi supervised learning
- multi class
- feature space
- feature selection
- frequent patterns
- machine learning algorithms
- feature set
- supervised learning
- pairwise
- training set
- feature extraction
- machine learning
- automatic text classification
- data sets