Clustering-Driven and Dynamically Diversified Ensemble for Drifting Data Streams.
Lukasz KoryckiBartosz KrawczykPublished in: IEEE BigData (2018)
Keyphrases
- data streams
- concept drift
- outlier detection
- sliding window
- clustering algorithm
- k means
- mining concept drifting data streams
- clustering method
- multiple data streams
- sensor networks
- clustering ensemble
- ensemble methods
- streaming data
- data driven
- cluster ensemble
- data points
- feature selection
- stream mining
- data sets
- fuzzy clustering
- ensemble classifier
- categorical data
- hierarchical clustering
- ensemble learning
- data clustering
- information theoretic
- change detection
- consensus clustering
- ensemble clustering
- data mining
- drifting concepts
- noisy data streams
- neural network