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WEBI
2010
Springer
8 years 4 months ago
Learning in Presence of Ontology Mapping Errors
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
Neeraj Koul, Vasant Honavar
SIGMOD
2001
ACM
92views Database» more  SIGMOD 2001»
9 years 6 months ago
Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach
AnHai Doan, Pedro Domingos, Alon Y. Halevy
KDD
2002
ACM
96views Data Mining» more  KDD 2002»
9 years 6 months ago
A theoretical framework for learning from a pool of disparate data sources
Shai Ben-David, Johannes Gehrke, Reba Schuller
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