Cost-Sensitive Weighting and Imbalance-Reversed Bagging for Streaming Imbalanced and Concept Drifting in Electricity Pricing Classification.
Wing W. Y. NgJianjun ZhangChun Sing LaiWitold PedryczLoi Lei LaiXizhao WangPublished in: IEEE Trans. Ind. Informatics (2019)
Keyphrases
- cost sensitive
- class imbalance
- class distribution
- imbalanced data
- cost sensitive learning
- cost sensitive classification
- misclassification costs
- minority class
- base classifiers
- multi class
- binary classification
- active learning
- base learners
- support vector machine
- concept drift
- sampling methods
- naive bayes
- data streams
- machine learning
- decision trees
- streaming data
- classification models
- ensemble learning
- high dimensionality
- classification algorithm
- image classification
- bayesian networks
- training data
- feature selection