CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data.
Zhong ChenZhide FangVictor S. ShengAndrea EdwardsKun ZhangPublished in: ICBK (2021)
Keyphrases
- streaming data
- cost sensitive
- high dimensional
- class imbalance
- class distribution
- concept drift
- data streams
- misclassification costs
- cost sensitive learning
- multi class
- sliding window
- cost sensitive classification
- binary classification
- low dimensional
- data distribution
- active learning
- anomaly detection
- high dimensionality
- minority class
- data points
- multi dimensional
- high dimensional data
- similarity search
- naive bayes
- nearest neighbor
- feature space
- machine learning
- dimensionality reduction
- support vector machine
- image processing