Class-imbalanced time series anomaly detection method based on cost-sensitive hybrid network.
Xiaofeng WangYing ZhangNingning BaiQinhua YuQin WangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- detection method
- cost sensitive
- class imbalance
- multi class
- detection algorithm
- class imbalanced
- cost sensitive learning
- misclassification costs
- active learning
- binary classification
- naive bayes
- data sets
- non stationary
- text classification
- support vector machine
- feature vectors
- data streams
- training data
- feature selection
- neural network