Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter.
Mulugeta Weldezgina AsresChristian Walter Peter OmlinLong WangDavid YuPavel ParyginJay DittmannGeorgia KarapostoliMarkus SeidelRosamaria VendittiLuka LambrechtEmanuele UsaiMuhammad AhmadJavier Fernandez MenendezKaori Maeshimathe CMS-HCAL CollaborationPublished in: Sensors (2023)
Keyphrases
- anomaly detection
- data quality
- detect anomalies
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network traffic
- data warehouse
- intrusion detection system
- computer networks
- network anomaly detection
- social networks
- unsupervised learning
- moving objects
- one class support vector machines
- negative selection algorithm
- image sequences
- normal behavior
- network structure
- decision support
- image segmentation