Using multiple classifier behavior to develop a dynamic outlier ensemble.
Ping YuanBiao WangZhizhong MaoPublished in: Int. J. Mach. Learn. Cybern. (2021)
Keyphrases
- training data
- ensemble learning
- training set
- feature selection
- neural network
- multiple classifiers
- ensemble classifier
- decision trees
- dynamic environments
- dynamic behavior
- classifier ensemble
- machine learning
- final classification
- support vector machine
- temporal behavior
- individual classifiers
- outlier detection
- semi supervised
- feature space
- combining multiple
- weak classifiers
- classification scheme
- random forest
- weak learners
- multiple models
- svm classifier
- combining classifiers
- data mining