DROP: A Workload-Aware Optimizer for Dimensionality Reduction.
Sahaana SuriPeter BailisPublished in: DEEM@SIGMOD (2019)
Keyphrases
- dimensionality reduction
- high dimensional
- low dimensional
- response time
- high dimensional data
- principal component analysis
- data representation
- high dimensionality
- feature extraction
- structure preserving
- data points
- preprocessing step
- optimization algorithm
- query optimization
- lower dimensional
- dimensionality reduction methods
- principal components
- pattern recognition and machine learning
- linear discriminant analysis
- intrinsic dimensionality
- nonlinear dimensionality reduction
- pattern recognition
- manifold learning
- input space
- metric learning
- feature space
- linear dimensionality reduction
- feature selection
- data sets
- kernel learning
- principal components analysis
- random projections
- sparse representation
- kernel pca
- query processing