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» Using Rough Sets as Tools for Knowledge Discovery
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ICST
2008
IEEE
15 years 7 months ago
On Combining Multi-formalism Knowledge to Select Models for Model Transformation Testing
Testing remains a major challenge for model transformation development. Test models that are used as test data for model transformations, are constrained by various sources of kno...
Sagar Sen, Benoit Baudry, Jean-Marie Mottu
115
Voted
ISMDA
2005
Springer
15 years 6 months ago
Foreseeing Promising Bio-medical Findings for Effective Applications of Data Mining
Abstract. The increasing availability of automated data collection tools, database technologies and Information and Communication Technologies in biomedicine and health care have l...
Stefano Bonacina, Marco Masseroli, Francesco Pinci...
103
Voted
IJHCI
2002
90views more  IJHCI 2002»
15 years 6 days ago
Awareness of Organizational Expertise
This article describes automated tools for increasing organizational awareness within a global enterprise. The MITRE Corporation is the context for the current work, however the t...
Mark T. Maybury, Raymond J. D'Amore, David House
IDA
2006
Springer
15 years 16 days ago
Supporting bi-cluster interpretation in 0/1 data by means of local patterns
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...
112
Voted
SAC
2009
ACM
15 years 7 months ago
A new protein motif extraction framework based on constrained co-clustering
Signal finding (pattern discovery) in biological sequences is a fundamental problem in both computer science and molecular biology. Many approaches have been proposed for extract...
Francesca Cordero, Alessia Visconti, Marco Botta