Introduction.- Multilabel Classification.- Case Studies and Metrics.- Transformation based Classifiers.- Adaptation based Classifiers.- Ensemble based Classifiers.- Dimensionality Reduction.- Imbalance in Multilabel Datasets.- Multilabel Software.
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