Supervised and Unsupervised Identification of Concept Drifts in Data Streams of Seismic-Volcanic Signals.
Paola Alexandra Castro-CabreraMauricio Orozco-AlzateCésar Germán Castellanos-DomínguezFernando HuenupánLuis Enrique FrancoPublished in: IBERAMIA (2018)
Keyphrases
- concept drift
- data streams
- streaming data
- unsupervised learning
- semi supervised
- signal processing
- seismic data
- data stream mining
- unsupervised methods
- mining data streams
- supervised learning
- sliding window
- stream data
- data stream classification
- evolving data streams
- data distribution
- drift detection
- drifting concepts
- change detection
- stream mining
- sensor networks
- machine learning
- data sets
- concept drifting data streams
- non stationary
- outlier detection
- continuous queries
- learning algorithm
- ensemble classification
- mining frequent itemsets
- ensemble classifier
- classification algorithm
- sensor data
- frequent itemsets
- stream processing
- semi supervised learning
- closed frequent itemsets
- concept drifting
- high dimensional
- feature selection
- data mining