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. It contains a big collection of classical knowledge extraction algorithms, preprocessing' and is a Data Mining software in the business & commerce category. There are more than 10 alternatives to KEEL for a variety of platforms, including Linux, Mac, Windows, Web-based and Self-Hosted apps. The best KEEL alternative is Orange, which is both free and Open Source. Other great apps like KEEL are Altair RapidMiner, KNIME, WEKA and Actian.
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.
Orange is the most popular Windows, Mac & Linux alternative to KEEL.
Orange is the most popular Open Source & free alternative to KEEL.
RapidMiner makes data science teams more productive through an open source platform for data prep, machine learning, and model deployment.
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. It can be downloaded as the core application itself(Knime Desktop), or the whole SDK...
Weka is a collection of machine learning algorithms for data mining tasks; with its own GUI.
Actian transforms Big Data into business value for any organization? Not just those with considerable resources. Actian provides transformational business value by delivering actionable insights into new sources of revenue, business opportunities, and ways of mitigating risk...
Actian is the most popular Web-based alternative to KEEL.
Actian is the most popular commercial alternative to KEEL.
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.
Apache Mahout is an Apache project to produce free implementations of distributed or otherwise scalable machine learning algorithms on the Hadoop platform. Mahout is a work in progress; the number of implemented algorithms has grown quickly, but there are still various...
SIMON is a powerful, flexible, open-source and easy to use knowledge discovery application. SIMON implements machine learning (autoML) and statistical data discovery features that will help you to illustrate dynamic relationships and provide you with a structural sense of your...
SIMON is the most popular Self-Hosted alternative to KEEL.
The definitive business analytics platform for data driven companies. Point and click Analytics made for analysts by analysts. Build your own analytical apps and share with the whole organization.
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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