Correlation Joins over Time Series Data Streams Utilizing Complementary Dimension Reduction and Transformation.
AmirReza Alizade NikooMichael H. BöhlenSven HelmerPublished in: Proc. ACM Manag. Data (2023)
Keyphrases
- dimension reduction
- data streams
- high dimensional
- principal component analysis
- sliding window
- feature selection
- feature extraction
- low dimensional
- high dimensionality
- high dimensional data
- high dimensional problems
- variable selection
- data mining and machine learning
- streaming data
- feature space
- data sets
- manifold learning
- high dimensional data analysis
- singular value decomposition
- linear discriminant analysis
- partial least squares
- random projections
- concept drift
- query optimization
- unsupervised learning
- dimensionality reduction
- data distribution
- discriminative information
- dimension reduction methods
- nonlinear manifold
- cluster analysis
- qr decomposition
- preprocessing
- image processing
- computer vision
- learning algorithm