C4.5: programs for machine learning
C4.5: programs for machine learning
Estimating attributes: analysis and extensions of RELIEF
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
OPTICS: ordering points to identify the clustering structure
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Introduction to data visualization
Information visualization in data mining and knowledge discovery
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
R Programming for Bioinformatics
R Programming for Bioinformatics
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
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Based on the biotechnological revolution in the past years, molecular biology has become increasingly data-driven. Knowledge Discovery in Databases, a well-known process in the field of bioinformatics, is supporting the biological research process from data integration, knowledge mining to data interpretation. This work proposes a new software suite, termed Knowledge Discovery inDatabases Designer (KD3), covering the completeKnowledge Discovery in Databases process using a workflow-oriented architecture. Three different application-oriented modules are implemented in KD3: First, the Designer for designing specific workflows. These workflows can be used by the Interpreter, which allows to load and parameterize existing workflows. The Launcher encapsulates one dedicated workflow into an independent application to answer one specific biomedical question. KD3 offers a variety of implemented methods, which can be easily extended with new customized components using functional objects. All components can be connected to workflows, which may contain elements of other applications.