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COOPIS
2004
IEEE
14 years 8 days ago
Learning Classifiers from Semantically Heterogeneous Data
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...
Doina Caragea, Jyotishman Pathak, Vasant Honavar
EDBT
2008
ACM
162views Database» more  EDBT 2008»
14 years 8 months ago
Schema merging and mapping creation for relational sources
We address the problem of generating a mediated schema from a set of relational data source schemas and conjunctive queries that specify where those schemas overlap. Unlike past a...
Rachel Pottinger, Philip A. Bernstein
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 11 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
CAISE
2004
Springer
14 years 1 months ago
AutoMed: A BAV Data Integration System for Heterogeneous Data Sources
Abstract. This paper describes the AutoMed repository and some associated tools, which provide the first implementation of the both as view (BAV) approach to data integration. Apa...
Michael Boyd, Sasivimol Kittivoravitkul, Charalamb...
NAR
2008
142views more  NAR 2008»
13 years 8 months ago
CMGSDB: integrating heterogeneous Caenorhabditis elegans data sources using compositional data mining
CMGSDB (Database for Computational Modeling of Gene Silencing) is an integration of heterogeneous data sources about Caenorhabditis elegans with capabilities for compositional dat...
Amrita Pati, Ying Jin, Karsten Klage, Richard F. H...