Machine Learning With Variational AutoEncoder for Imbalanced Datasets in Intrusion Detection.
Ying-Dar LinZi-Qiang LiuRen-Hung HwangVan-Linh NguyenPo-Ching LinYuan-Cheng LaiPublished in: IEEE Access (2022)
Keyphrases
- intrusion detection
- imbalanced datasets
- machine learning
- cost sensitive learning
- decision trees
- intrusion detection system
- anomaly detection
- data mining
- class distribution
- fraud detection
- network security
- ensemble methods
- class imbalance
- imbalanced data
- machine learning methods
- cost sensitive
- image segmentation
- sampling methods
- feature selection algorithms
- training dataset
- support vector machine
- active learning
- pattern recognition
- text classification
- learning algorithm
- knowledge discovery
- reinforcement learning
- learning models
- feature selection
- minority class
- supervised learning
- text mining
- data mining techniques
- learning problems
- multi class
- computer vision