An adaptive XGBoost-based optimized sliding window for concept drift handling in non-stationary spatiotemporal data streams classifications.
Ature AngberaHuah Yong ChanPublished in: J. Supercomput. (2024)
Keyphrases
- concept drift
- sliding window
- non stationary
- data streams
- mining data streams
- streaming data
- stream data
- drifting concepts
- drift detection
- high speed data streams
- data stream classification
- data stream mining
- incremental clustering
- sensor data
- limited memory
- continuous queries
- sensor networks
- fixed size
- window size
- data distribution
- evolving data streams
- frequent itemsets
- mining frequent itemsets
- stream mining
- change detection
- closed frequent itemsets
- outlier detection
- empirical mode decomposition
- stream processing
- semi supervised
- data analysis