S+t-SNE - Bringing Dimensionality Reduction to Data Streams.
Pedro C. VieiraJoão P. MontrezolJoão T. VieiraJoão GamaPublished in: IDA (2) (2024)
Keyphrases
- dimensionality reduction
- data streams
- sliding window
- principal component analysis
- high dimensional data
- high dimensional
- change detection
- pattern recognition
- sensor networks
- low dimensional
- data representation
- high dimensionality
- streaming data
- random projections
- feature selection
- linear discriminant analysis
- feature space
- nonlinear dimensionality reduction
- structure preserving
- sensor data
- concept drift
- manifold learning
- continuous data streams
- data stream mining
- pattern recognition and machine learning
- data distribution
- principal components
- data points
- distributed data streams
- mining data streams
- linear dimensionality reduction
- stream processing
- stream data
- euclidean distance
- metric learning
- feature extraction
- multiple data streams
- dimensionality reduction methods
- continuous queries
- itemsets
- graph embedding
- anytime algorithms
- stream mining
- database systems
- outlier detection
- data sets
- reservoir sampling
- data streaming
- data structure
- neural network