SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme Verification Latency.
Maria ArostegiJesus L. LoboJavier Del SerPublished in: IAL@PKDD/ECML (2021)
Keyphrases
- data streams
- concept drift
- sliding window
- streaming data
- model checking
- data stream classification
- sensor networks
- change detection
- data stream mining
- data distribution
- face verification
- mining data streams
- formal verification
- stream data
- evolving data streams
- data sets
- stream mining
- continuous data streams
- low latency
- stream processing
- prefetching
- sensor data
- multiple data streams
- functional verification
- continuous queries
- response time
- database
- similarity measure
- reservoir sampling