A Stacked Ensemble Model based on RUSBoost and a Cost-Sensitive Convolutional Neural Network for Class Imbalance in Big Data Analytics.
Peter Irungu MwangiLawrence NderuDorcas Gicuku MwigereriPublished in: ACSE (2020)
Keyphrases
- cost sensitive
- class imbalance
- ensemble learning
- base classifiers
- class distribution
- cost sensitive learning
- imbalanced data
- misclassification costs
- multi class
- binary classification
- feature ranking
- active learning
- base learners
- ensemble methods
- support vector machine
- naive bayes
- generalization ability
- random forest
- neural network
- feature selection
- cost sensitive boosting
- classification error
- concept drift
- benchmark datasets
- training data
- learning algorithm
- high dimensionality
- multi label
- data streams
- bayesian networks
- minority class