Tuning the ensemble selection process of schema matchers.
Avigdor GalTomer SagiPublished in: Inf. Syst. (2010)
Keyphrases
- schema matching
- deep web
- ensemble methods
- databases
- neural network
- ensemble learning
- random forests
- database schema
- data model
- database
- query interface
- learning algorithm
- data integration
- parameter tuning
- conceptual schema
- random forest
- schema integration
- information integration
- xml schema
- training data
- parameter settings
- rule selection
- tuning parameters
- schema evolution
- heterogeneous data sources
- ensemble classifier
- classifier ensemble
- fine tuning
- xml data
- majority voting
- training set
- physical design
- regression problems
- prediction accuracy
- base classifiers