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» Discovering Classification from Data of Multiple Sources
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KRMED
2008
13 years 9 months ago
Exploiting Fast Classification of SNOMED CT for Query and Integration of Health Data
By constructing local extensions to SNOMED we aim to enrich existing medical and related data stores, simplify the expression of complex queries, and establish a foundation for se...
Michael Lawley
PVLDB
2010
118views more  PVLDB 2010»
13 years 5 months ago
Global Detection of Complex Copying Relationships Between Sources
Web technologies have enabled data sharing between sources but also simplified copying (and often publishing without proper attribution). The copying relationships can be complex...
Xin Dong, Laure Berti-Equille, Yifan Hu, Divesh Sr...
SEMWEB
2009
Springer
14 years 2 months ago
Automatically Constructing Semantic Web Services from Online Sources
Abstract. The work on integrating sources and services in the Semantic Web assumes that the data is either already represented in RDF or OWL or is available through a Semantic Web ...
José Luis Ambite, Sirish Darbha, Aman Goel,...
BMCBI
2010
182views more  BMCBI 2010»
13 years 7 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
AAAI
2008
13 years 9 months ago
Text Categorization with Knowledge Transfer from Heterogeneous Data Sources
Multi-category classification of short dialogues is a common task performed by humans. When assigning a question to an expert, a customer service operator tries to classify the cu...
Rakesh Gupta, Lev-Arie Ratinov