A Deep Learning Approach Using Graph Neural Networks for Anomaly Detection in Air Quality Data Considering Spatiotemporal Correlations.
Xiaoling LinHongzhang WangJing GuoGang MeiPublished in: IEEE Access (2022)
Keyphrases
- anomaly detection
- neural network
- intrusion detection
- data sets
- deep learning
- air quality
- data analysis
- detect anomalies
- training data
- data mining techniques
- image processing
- image data
- streaming data
- connectionist systems
- network traffic
- intrusion detection system
- spatial data
- computer systems
- knowledge discovery
- object recognition
- pattern recognition