Threshold-free Anomaly Detection for Streaming Time Series through Deep Learning.
Jing ZhangChao WangZezhou LiXianbo ZhangPublished in: ICMLA (2021)
Keyphrases
- anomaly detection
- deep learning
- streaming time series
- streaming data
- unsupervised learning
- similarity search
- intrusion detection
- detecting anomalies
- network intrusion detection
- data mining algorithms
- data mining tasks
- anomalous behavior
- mental models
- incremental clustering
- weakly supervised
- machine learning
- sliding window
- intrusion detection system
- supervised learning
- data sets
- detect anomalies
- neural network
- information retrieval
- training data
- image processing
- feature selection