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VLDB
2004
ACM
106views Database» more  VLDB 2004»
14 years 29 days ago
Structures, Semantics and Statistics
At a fundamental level, the key challenge in data integration is to reconcile the semantics of disparate data sets, each expressed with a different database structure. I argue th...
Alon Y. Halevy
ICDE
2006
IEEE
275views Database» more  ICDE 2006»
14 years 9 months ago
Privacy Preserving Query Processing Using Third Parties
Data integration from multiple autonomous data sources has emerged as an important practical problem. The key requirement for such data integration is that owners of such data nee...
Amr El Abbadi, Aziz Gulbeden, Divyakant Agrawal, F...
KDD
2008
ACM
213views Data Mining» more  KDD 2008»
14 years 8 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
BMCBI
2005
126views more  BMCBI 2005»
13 years 7 months ago
Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models
Background: With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression data from different sources increases...
Pingzhao Hu, Celia M. T. Greenwood, Joseph Beyene
ER
2009
Springer
117views Database» more  ER 2009»
13 years 11 months ago
An Ontology-Based Framework for Geographic Data Integration
Ontologies have been extensively used to model domain-specific knowledge. Recent research has applied ontologies to enhance the discovery and retrieval of geographic data in Spatia...
Vânia Maria Ponte Vidal, Eveline R. Sacramen...