Deep kernel dimensionality reduction for scalable data integration.
Nataliya SokolovskaKarine ClémentJean-Daniel ZuckerPublished in: Int. J. Approx. Reason. (2016)
Keyphrases
- data integration
- dimensionality reduction
- kernel learning
- kernel pca
- data sources
- data exchange
- feature space
- data model
- databases
- data management
- data transformation
- data sharing
- kernel function
- principal component analysis
- data warehouse
- high dimensional
- query answering
- low dimensional
- data cleaning
- biological databases
- schema mappings
- data representation
- high dimensional data
- feature extraction
- database integration
- data points
- heterogeneous data
- random projections
- data sets
- heterogeneous data sources
- business intelligence
- pattern recognition
- biological data
- data extraction
- knowledge discovery
- database systems
- feature selection
- database
- functional dependencies
- query optimization
- end users
- schema matching
- query decomposition