An Ensemble Classification Algorithm Based on Information Entropy for Data Streams.
Junhong WangShuliang XuBingqian DuanCaifeng LiuJiye LiangPublished in: CoRR (2017)
Keyphrases
- classification algorithm
- information entropy
- concept drift
- data streams
- ensemble learning
- classifier ensemble
- ensemble classifier
- training set
- streaming data
- base learners
- rough sets
- learning algorithm
- naive bayes
- support vector machine
- k nearest neighbor
- base classifiers
- decision table
- knn
- rough set theory
- class labels
- training phase
- ensemble methods
- classification rules
- neural network
- data sets
- accurate classification
- attribute values
- random forest
- classification accuracy
- training data
- training samples
- multi class
- decision trees
- feature selection
- database
- text categorization
- nearest neighbor
- control system
- feature extraction
- clustering algorithm
- artificial intelligence