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» Relational concept discovery in structured datasets
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BMCBI
2006
170views more  BMCBI 2006»
13 years 9 months ago
Biclustering of gene expression data by non-smooth non-negative matrix factorization
Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
OTM
2007
Springer
14 years 3 months ago
An Ontology-Driven Architecture for Re-using Semantic Web Services
As more semantic web services become on the Internet, it is feasible that users collaborate among them to save efforts in complex web solutions by sharing and reusing existing sema...
Carlos Granell, Dolores María Llidó,...
BIBE
2005
IEEE
13 years 11 months ago
A Multi-Level Approach to SCOP Fold Recognition
The classification of proteins based on their structure can play an important role in the deduction or discovery of protein function. However, the relatively low number of solved...
Keith Marsolo, Srinivasan Parthasarathy, Chris H. ...
WWW
2010
ACM
14 years 4 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
EMNLP
2009
13 years 7 months ago
Character-level Analysis of Semi-Structured Documents for Set Expansion
Set expansion refers to expanding a partial set of "seed" objects into a more complete set. One system that does set expansion is SEAL (Set Expander for Any Language), w...
Richard C. Wang, William W. Cohen