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» Using Rough Sets as Tools for Knowledge Discovery
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DMIN
2008
190views Data Mining» more  DMIN 2008»
14 years 11 months ago
Optimization of Self-Organizing Maps Ensemble in Prediction
The knowledge discovery process encounters the difficulties to analyze large amount of data. Indeed, some theoretical problems related to high dimensional spaces then appear and de...
Elie Prudhomme, Stéphane Lallich
MLDM
2009
Springer
15 years 2 months ago
Assisting Data Mining through Automated Planning
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
Fernando Fernández, Daniel Borrajo, Susana ...
BMCBI
2004
150views more  BMCBI 2004»
14 years 10 months ago
Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data
Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
Dietmar E. Martin, Philippe Demougin, Michael N. H...
BMCBI
2006
103views more  BMCBI 2006»
14 years 10 months ago
Domain-based small molecule binding site annotation
Background: Accurate small molecule binding site information for a protein can facilitate studies in drug docking, drug discovery and function prediction, but small molecule bindi...
Kevin A. Snyder, Howard J. Feldman, Michel Dumonti...
ICDE
2010
IEEE
220views Database» more  ICDE 2010»
14 years 8 months ago
Profiling linked open data with ProLOD
Linked open data (LOD), as provided by a quickly growing number of sources constitutes a wealth of easily accessible information. However, this data is not easy to understand. It i...
Christoph Böhm, Felix Naumann, Ziawasch Abedj...