Feature construction and smote-based imbalance handling for multi-label learning.
Nitin Kumar MishraPramod Kumar SinghPublished in: Inf. Sci. (2021)
Keyphrases
- feature construction
- multi label learning
- class distribution
- class imbalance
- imbalanced datasets
- decision trees
- multi label
- unlabeled data
- genetic programming
- feature selection
- machine learning
- concept learning
- data representation
- labeled data
- minority class
- supervised learning
- rule learning
- cost sensitive
- base learners
- active learning
- semi supervised
- semi supervised learning
- high dimensionality
- inductive logic programming
- image annotation
- decision rules
- training data
- training dataset
- text classification
- face recognition
- feature extraction
- training set
- class labels