IGMM-CD: A Gaussian Mixture Classification Algorithm for Data Streams with Concept Drifts.
Luan Soares OliveiraGustavo E. A. P. A. BatistaPublished in: BRACIS (2015)
Keyphrases
- concept drift
- gaussian mixture
- classification algorithm
- incremental clustering
- streaming data
- data streams
- data stream classification
- mining data streams
- gaussian mixture model
- knn
- em algorithm
- covariance matrix
- expectation maximization
- k nearest neighbor
- stream data
- closed form
- evolving data streams
- training set
- probability density function
- data stream mining
- naive bayes
- density estimation
- support vector machine
- mixture model
- class labels
- learning algorithm
- ensemble classifier
- clustering algorithm
- probabilistic model
- training data
- feature extraction
- classifier ensemble
- sliding window
- concept drifting
- neural network