STREamRHF: Tree-Based Unsupervised Anomaly Detection for Data Streams.
Stefan NesicAndrian PutinaMaroua BahriAlexis HuetJosé Manuel NavarroDario RossiMauro SozioPublished in: AICCSA (2022)
Keyphrases
- unsupervised anomaly detection
- data streams
- anomaly detection
- semi supervised
- streaming data
- intrusion detection
- sliding window
- change detection
- continuous data streams
- concept drift
- stream data
- data distribution
- pattern mining
- continuous queries
- stream mining
- sensor networks
- data sets
- sensor data
- stream processing
- data stream mining
- itemsets
- unsupervised learning
- limited memory
- mining data streams
- outlier detection
- data streaming
- heavy hitters
- distributed data streams
- pattern recognition