Analyzing concept drift: A case study in the financial sector.
Andrés R. MasegosaAna M. MartínezDarío Ramos-LópezHelge LangsethThomas D. NielsenAntonio SalmerónPublished in: Intell. Data Anal. (2020)
Keyphrases
- concept drift
- data streams
- streaming data
- drifting concepts
- non stationary
- drift detection
- data stream classification
- classification algorithm
- incremental clustering
- change detection
- data distribution
- ensemble classifier
- target concept
- data stream mining
- concept descriptions
- evolving data streams
- stream data
- naive bayes
- batch learning
- prior knowledge
- multi dimensional
- machine learning