Anomaly Detection in Automatic Meter Intelligence System Using Positive Unlabeled Learning and Multiple Symbolic Aggregate Approximation.
Thi Ngoc Anh NguyenVu Hoai ThuDang Minh TuanDohyeun KimAnh-Ngoc LePublished in: Big Data (2023)
Keyphrases
- anomaly detection
- unsupervised learning
- connectionist systems
- intrusion detection
- active learning
- supervised learning
- network intrusion detection
- training data
- reinforcement learning
- network traffic
- detecting anomalies
- labeled data
- learning algorithm
- detect anomalies
- image segmentation
- learning process
- feature selection
- anomalous behavior
- data mining