Modeling Concept Drift in the Context of Discrete Bayesian Networks.
Hatim AlsuwatEmad AlsuwatMarco ValtortaJohn R. RoseCsilla FarkasPublished in: KDIR (2019)
Keyphrases
- concept drift
- bayesian networks
- data streams
- drifting concepts
- streaming data
- incremental clustering
- non stationary
- drift detection
- data stream classification
- data distribution
- batch learning
- classification algorithm
- change detection
- evolving data streams
- ensemble learning
- pattern recognition
- data sets
- machine learning
- neural network