The R Project for Statistical Computing (R) is a free software environment for statistical computing and graphics.
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Tag: data mining
MOA – software environment for data stream mining
MOA is a software environment for implementing algorithms and running experiments for online learning from evolving data streams.
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Orange – data mining software
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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ELKI – data mining software written in Java
Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) is a data mining software framework.
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DataMelt – scientific computation, data analysis and data visualization
DataMelt is an environment for scientific computation, data analysis and data visualization.
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Weka – collection of machine learning algorithms for data mining tasks
Weka (Waikato Environment for Knowledge Analysis) is a comprehensive popular suite of machine learning software written in Java.
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Rattle – R analytical tool
Rattle provides a Gnome based open source interface to R functionality for binary classification tasks and data mining.
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ROOT – modular scientific software framework
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 – Konstanz Information Miner
KNIME is a coherent and comprehensive open source visual platform for data integration, processing, analysis, reporting and exploration.
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11 Best Free and Open Source Linux Data Mining Software
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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Best Free and Open Source Alternatives to SAS Enterprise Miner
SAS Enterprise Miner aims to streamline the data mining process. We recommend the best free and open source alternatives.
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Three Beginner-Friendly Data Mining Solutions
Data mining is no longer a mythical thing that only a handful of data scientists understand. Everyone leverages data to do their work.
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