Concept drift in Streaming Data Classification: Algorithms, Platforms and Issues.
JanardanShikha MehtaPublished in: ITQM (2017)
Keyphrases
- concept drift
- streaming data
- classification algorithm
- evolving data streams
- data streams
- ensemble classifier
- data stream classification
- data stream mining
- concept drifting data streams
- sliding window
- drift detection
- non stationary
- stream mining
- class imbalance
- incremental clustering
- learning algorithm
- high speed data streams
- mining data streams
- knn
- stream data
- data distribution
- class labels
- benchmark datasets
- supervised learning
- incoming data
- pattern recognition
- data sets
- training set
- classification accuracy
- change detection
- naive bayes
- training samples
- k nearest neighbor
- support vector machine
- classifier ensemble
- pairwise
- neural network