Anomaly Detection for Imbalanced Data via Deep Neural Network with Concentrated Loss.
Yanli WangXiaodong WangXianwei XuFei YanZhiqiang ZengPublished in: DSIE (2021)
Keyphrases
- anomaly detection
- imbalanced data
- neural network
- intrusion detection
- detecting anomalies
- artificial neural networks
- class distribution
- classification models
- feature selection
- ensemble methods
- intrusion detection system
- random forest
- linear regression
- class imbalance
- one class support vector machines
- support vector machine
- genetic algorithm
- unsupervised learning
- pattern recognition
- detect anomalies
- decision trees
- test set
- ensemble learning
- svm classifier
- text classification
- optical flow
- support vector
- data mining