Active Learning for Data Streams Under Concept Drift and Concept Evolution.
Saad MohamadMoamar Sayed MouchawehAbdelhamid BouchachiaPublished in: STREAMEVOLV@ECML-PKDD (2016)
Keyphrases
- concept drift
- data streams
- target concept
- active learning
- concept descriptions
- streaming data
- drifting concepts
- drift detection
- stream data
- non stationary
- sliding window
- change detection
- data distribution
- data stream classification
- data stream mining
- mining data streams
- classification algorithm
- batch learning
- evolving data streams
- learning algorithm
- stream mining
- stream clustering
- incoming data
- high speed data streams
- data structure
- supervised learning
- semi supervised
- classification accuracy
- machine learning