A domain-independent methodology to analyze IoT data streams in real-time. A proof of concept implementation for anomaly detection from environmental data.
Sergio TrillesÓscar Belmonte FernándezSven SchadeJoaquín HuertaPublished in: Int. J. Digit. Earth (2017)
Keyphrases
- domain independent
- anomaly detection
- environmental data
- data streams
- domain specific
- streaming data
- intrusion detection
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- high dimensional data streams
- intrusion detection system
- domain dependent
- unsupervised learning
- detect anomalies
- network anomaly detection
- negative selection algorithm
- artificial intelligence
- concept drift
- geospatial data
- one class support vector machines
- natural language interface to databases
- database
- data mining applications
- statistical methods
- environmental sciences
- metadata