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» Learning from Multiple Sources of Inaccurate Data
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BMCBI
2007
133views more  BMCBI 2007»
13 years 8 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
ICDE
2006
IEEE
181views Database» more  ICDE 2006»
14 years 10 months ago
Adaptive Reorganization of Coherency-Preserving Dissemination Tree for Streaming Data
In many recent applications, data are continuously being disseminated from a source to a set of servers. In this paper, we propose a cost-based approach to construct dissemination...
Yongluan Zhou, Beng Chin Ooi, Kian-Lee Tan, Feng Y...
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 6 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
EKAW
2010
Springer
13 years 7 months ago
Scaling Up Question-Answering to Linked Data
Linked Data semantic sources, in particular DBpedia, can be used to answer many user queries. PowerAqua is an open multi-ontology Question Answering (QA) system for the Semantic We...
Vanessa Lopez, Andriy Nikolov, Marta Sabou, Victor...
GIR
2006
ACM
14 years 2 months ago
Inferring Geographical Ontologies from Multiple Resources for Geographical Information Retrieval
Many documents that can be found in the World Wide Web include some kind of geographical information, often in an implicit way. The use of resources like gazetteers and geographic...
Davide Buscaldi, Paolo Rosso, Piedachu Peris