Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams.
Adel GhazikhaniReza MonsefiHadi Sadoghi YazdiPublished in: Neural Comput. Appl. (2013)
Keyphrases
- non stationary
- cost sensitive
- class imbalance
- concept drift
- data streams
- class distribution
- confidence weighted
- misclassification costs
- cost sensitive learning
- multi class
- cost sensitive classification
- binary classification
- sliding window
- naive bayes
- fraud detection
- support vector machine
- change detection
- minority class
- active learning
- imbalanced data
- data sets
- cost sensitive boosting
- multi label
- small number
- missing values
- boosting algorithms
- image classification
- empirical mode decomposition
- classification accuracy
- decision trees
- image processing