No Free Lunch Theorem for concept drift detection in streaming data classification: A review.
Hanqing HuMehmed M. KantardzicTegjyot Singh SethiPublished in: WIREs Data Mining Knowl. Discov. (2020)
Keyphrases
- drift detection
- concept drifting data streams
- concept drift
- streaming data
- classification algorithm
- data streams
- data stream mining
- decision trees
- sliding window
- change detection
- pattern recognition
- feature space
- classification accuracy
- machine learning
- feature extraction
- stream mining
- data distribution
- non stationary
- support vector machine
- support vector
- clustering algorithm
- feature selection
- learning algorithm
- class labels
- domain knowledge
- training set
- continuous queries
- classifier ensemble
- stream data