Efficient handling of concept drift and concept evolution over Stream Data.
Ahsanul HaqueLatifur KhanMichael BaronBhavani M. ThuraisinghamCharu C. AggarwalPublished in: ICDE (2016)
Keyphrases
- concept drift
- stream data
- mining data streams
- data streams
- streaming data
- sliding window
- non stationary
- data stream mining
- change detection
- data distribution
- classification algorithm
- historical data
- sensor data
- stream processing
- feature extraction
- concept drifting
- continuous queries
- data sets
- sensor networks
- knn
- ensemble learning
- support vector
- bayesian networks
- neural network