On adaptive extraction of minor subspace from high dimensional data stream.
Da-Zheng FengWei Xing ZhengPublished in: ISSPA (2005)
Keyphrases
- high dimensional
- data streams
- low dimensional
- dimensionality reduction
- high dimensional data
- sliding window
- lower dimensional
- feature space
- high dimensionality
- similarity search
- change detection
- sparse data
- concept drift
- multi dimensional
- information extraction
- transactional data
- noisy data
- manifold learning
- data stream mining
- data points
- input space
- dimension reduction
- data sets
- principal components
- parameter space
- variable selection
- subspace methods
- data distribution
- outlier detection
- stream mining
- continuous data streams