The R Project for Statistical Computing (R) is a free software environment for statistical computing and graphics.
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The R Project for Statistical Computing (R) is a free software environment for statistical computing and graphics.
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MOA is a software environment for implementing algorithms and running experiments for online learning from evolving data streams.
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Orange is a component-based framework for machine learning and data mining. It includes a range of data visualization, and exploration.
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Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) is a data mining software framework.
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DataMelt is an environment for scientific computation, data analysis and data visualization.
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Weka (Waikato Environment for Knowledge Analysis) is a comprehensive popular suite of machine learning software written in Java.
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Rattle provides a Gnome based open source interface to R functionality for binary classification tasks and data mining.
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ROOT is an object-oriented program and library developed by CERN, aimed at solving the data analysis challenges of high-energy physics.
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KNIME is a coherent and comprehensive open source visual platform for data integration, processing, analysis, reporting and exploration.
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Data mining (also known as knowledge discovery) is the process of gathering large amounts of valid information, analyzing that information and condensing it into meaningful data.
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