Combination of information entropy and ensemble classification for detecting concept drift in data stream.
Osama A. MahdiEric PardedeJinli CaoPublished in: ACSW (2018)
Keyphrases
- concept drift
- ensemble classification
- information entropy
- data streams
- ensemble classifier
- streaming data
- rough sets
- data stream mining
- drift detection
- data stream classification
- evolving data streams
- change detection
- data distribution
- non stationary
- classification algorithm
- rough set theory
- stream data
- sliding window
- decision table
- ensemble learning
- data sets
- multi class
- concept drifting
- training data