KEEL Alternatives

    KEEL is described as 'open source (GPLv3) Java software tool to assess evolutionary algorithms for Data Mining problems including regression, classification, clustering, pattern mining and so on' and is an app in the Education & Reference category. There are more than 10 alternatives to KEEL for Windows, Linux, Mac, Online / Web-based and Self-Hosted solutions. The best alternative is Orange, which is both free and Open Source. Other great apps like KEEL are KNIME (Free, Open Source), RapidMiner (Freemium), WEKA (Free, Open Source) and Neural Designer (Paid).

    This page was last updated May 23, 2019

    1. Orange is an open-source, cross-platform data mining and machine learning suite. It features visual programming as intuitive means of combining data analysis and interactive visualization methods into powerful workflows.
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    2. Knime is a java open-source, cross-platform application which name means "Konstanz Information Miner". It is actually used extensively for data mining, data analysis and optimization.
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    3. RapidMiner (Community edition) is a data mining software. It was formerly known as "YALE". You can use RapidMiner as a stand-alone application for data analysis, or integrate it as a data-mining engine into your own products.
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      • FreeOpen Source
      • Mac
      • Windows
      • Linux
      Weka is a collection of machine learning algorithms for data mining tasks; with its own GUI. (The application is named after a flightless bird of New Zealand that is very inquisitive.
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    4. Neural Designer is a software tool for advanced analytics. It includes tools for descriptive, diagnostic, predictive and prescriptive analytics. It allows you to get actionable insights resulting in smarter decisions and better business outcomes.
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    5. Apache Mahout is an Apache project to produce free implementations of distributed or otherwise scalable machine learning algorithms on the Hadoop platform.
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    6. Powerful forecasting software for small businesses, traders and scientists. GMDH Shell is the easiest way to accurately forecast time series, create classifiers and regression models.
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    7. ELKI: "Environment for Developing KDD-Applications Supported by Index-Structures" is a development framework for data mining algorithms written in Java. It includes a large variety of popular data mining algorithms, distance functions and index structures.
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    8. SIMON is a powerful, flexible, open-source and easy to use knowledge discovery application.
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    9. Actian transforms Big Data into business value for any organization? Not just those with considerable resources.
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    Showing 10 of 10 alternatives