Agent-based population learning algorithm for over-sampling in the classification of imbalanced data streams.
Ireneusz CzarnowskiPublished in: KES (2023)
Keyphrases
- learning algorithm
- data streams
- classification algorithm
- machine learning algorithms
- machine learning methods
- imbalanced data
- training samples
- sliding window
- feature vectors
- decision trees
- class imbalance
- feature extraction
- class labels
- machine learning
- generalization ability
- feature selection
- classification accuracy
- support vector machine
- supervised learning
- imbalanced data sets
- image classification
- training data
- pattern classification
- text classification
- imbalanced datasets
- imbalanced class distribution
- concept drift
- sampling methods
- restricted boltzmann machine
- anytime classification
- neural network
- data distribution
- multi agent systems
- high dimensionality
- classification models
- back propagation
- support vector machine svm
- learning scheme
- feature set
- multi class
- training set
- feature space
- data stream classification
- genetic algorithm
- data sets