Comprehensive analysis for class imbalance data with concept drift using ensemble based classification.
S. PriyaR. Annie UthraPublished in: J. Ambient Intell. Humaniz. Comput. (2021)
Keyphrases
- class imbalance
- concept drift
- drifting concepts
- comprehensive analysis
- streaming data
- majority class
- class distribution
- data distribution
- data streams
- neural network
- data sets
- ensemble learning
- ensemble classifier
- pattern recognition
- training data
- data structure
- cost sensitive
- classification algorithm
- non stationary
- training samples
- data analysis
- feature selection
- machine learning
- reinforcement learning
- small number
- active learning
- sampling methods
- imbalanced data
- support vector
- minority class
- classifier ensemble
- high dimensionality
- high dimensional data
- input data
- feature set
- feature space