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» Discovering Classification from Data of Multiple Sources
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BIBM
2008
IEEE
217views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction
The study of gene function is critical in various genomic and proteomic fields. Due to the availability of tremendous amounts of different types of protein data, integrating thes...
Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon ...
SBBD
2004
128views Database» more  SBBD 2004»
13 years 9 months ago
Integrating Heterogeneous Data Sources in Flexible and Dynamic Environments
Flexible and dynamic environments are characterized by high independence from connection participants, low control over available services and high tolerance to communication fail...
Angelo Brayner, Marcelo Meirelles
WEBI
2010
Springer
13 years 5 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
CSE
2009
IEEE
14 years 2 months ago
Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery
—The hidden knowledge in social networks data can be regarded as an important resource for criminal investigations which can help finding the structure and organization of a crim...
Amin Milani Fard, Martin Ester
CAISE
2001
Springer
14 years 4 days ago
A Semantic Approach to Integrating XML and Structured Data Sources
XML is fast becoming the standard for information exchange on the Internet. As such, information expressed in XML will need to be integrated with existing information systems, whi...
Peter McBrien, Alexandra Poulovassilis