An LSTM Encoder-Decoder Approach for Unsupervised Online Anomaly Detection in Machine Learning Packages for Streaming Data.
Nabil BelacelRené RichardZhicheng Max XuPublished in: Big Data (2022)
Keyphrases
- anomaly detection
- streaming data
- machine learning
- unsupervised learning
- unsupervised anomaly detection
- intrusion detection
- network anomaly detection
- network intrusion detection
- supervised learning
- distributed video coding
- detecting anomalies
- network traffic
- intrusion detection system
- anomalous behavior
- detect anomalies
- one class support vector machines
- network security
- computer vision
- learning algorithm
- semi supervised learning
- negative selection algorithm
- data distribution
- sliding window
- support vector machine
- knowledge discovery
- active learning
- neural network
- data sets
- text classification
- dimensionality reduction
- concept drift
- semi supervised
- training set
- data analysis
- data structure
- reinforcement learning
- feature selection