Fast and reliable incremental dimensionality reduction for streaming data.
Tácito Trindade de Araújo Tiburtino NevesRafael Messias MartinsDanilo Barbosa CoimbraKostiantyn KucherAndreas KerrenFernando V. PaulovichPublished in: Comput. Graph. (2022)
Keyphrases
- streaming data
- dimensionality reduction
- data streams
- concept drift
- sliding window
- data distribution
- evolving data streams
- incremental clustering
- high dimensional data
- feature extraction
- low dimensional
- high dimensionality
- anomaly detection
- principal component analysis
- high dimensional
- stream mining
- mining data streams
- data points
- incremental learning
- feature space
- data streaming
- data stream mining
- massive data streams
- single pass
- streaming time series
- neural network
- machine learning
- concept drifting data streams