QuadCDD: A Quadruple-based Approach for Understanding Concept Drift in Data Streams.
Pingfan WangHang YuNanlin JinDuncan DaviesWai Lok WooPublished in: Expert Syst. Appl. (2024)
Keyphrases
- concept drift
- data streams
- streaming data
- drifting concepts
- drift detection
- data stream classification
- change detection
- sliding window
- stream data
- non stationary
- classification algorithm
- mining data streams
- data stream mining
- data distribution
- stream mining
- evolving data streams
- incremental clustering
- data sets
- bayesian networks
- concept drifting data streams
- incoming data
- batch learning
- machine learning
- stream processing
- outlier detection
- concept descriptions
- limited memory
- ensemble classifier
- continuous queries
- training examples
- k nearest neighbor
- computer vision