Data reduction and stacking for imbalanced data classification.
Ireneusz CzarnowskiPiotr JedrzejowiczPublished in: J. Intell. Fuzzy Syst. (2019)
Keyphrases
- data reduction
- imbalanced data classification
- feature selection
- data compression
- classification accuracy
- data analysis
- preprocessing
- high dimensionality
- model selection
- active learning
- feature space
- rough set theory
- singular value decomposition
- ensemble learning
- knowledge discovery
- data mining
- classification rules
- class imbalance
- text classification
- text categorization
- support vector machine
- representative subset
- dimensionality reduction
- databases
- clustering algorithm
- neural network
- naive bayes
- multiresolution
- data quality
- support vector
- learning algorithm
- information retrieval
- machine learning