Efficient hybrid oversampling and intelligent undersampling for imbalanced big data classification.
Carla VairettiJosé Luis AssadiSebastián MaldonadoPublished in: Expert Syst. Appl. (2024)
Keyphrases
- class imbalance
- big data
- minority class
- class distribution
- majority class
- cost sensitive
- active learning
- business intelligence
- cost sensitive learning
- data processing
- big data analytics
- feature selection
- cloud computing
- data analysis
- decision trees
- high dimensionality
- imbalanced datasets
- data management
- high volume
- unstructured data
- knowledge discovery
- data warehousing
- support vector machine
- vast amounts of data
- massive data
- machine learning
- predictive modeling
- imbalanced data
- text classification
- object oriented
- training samples
- multi class
- decision support
- supervised learning
- information processing
- expert systems
- data analytics
- data science
- databases