Software
We've compiled a list of 11 free and paid alternatives to WEKA. The primary competitors include KNIME Analytics Platform, Orange Data Mining. In addition to these, users also draw comparisons between WEKA and Neural Designer, Apache Mahout, RapidMiner. Also you can look at other similar options here: About.
We've compiled a list of 11 free and paid alternatives to WEKA. The primary competitors include KNIME Analytics Platform, Orange Data Mining. In addition to these, users also draw comparisons between WEKA and Neural Designer, Apache Mahout, RapidMiner. Also you can look at other similar options here: About.
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KNIME Analytics Platform is an open data analytics and visualization platform that allows you to integrate, process, analyze, and visualize data. This platform simplifies the creation of complex analytical solutions and includes a wide range of tool…
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Open-source software for visual data analysis and machine learning. It is developed in the Python programming language and provides an intuitive graphical user interface. Orange provides a wide range of tools for working with data, including visuali…
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Apache Mahout is an Apache project to produce free implementations of distributed or otherwise...
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RapidMiner makes data science teams more productive through an open source platform for data prep, machine learning, and model deployment.
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SIMON is powerful, flexible, open-source and easy to use machine learning knowledge discovery...
10
KEEL is an open source (GPLv3) Java software tool to assess evolutionary algorithms for Data Mining...
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QIWare is an agile analytics solution that delivers a complete suite of capabilities to support...
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Boost supply chain efficiency with advanced analytics and machine learning. Automate real-time data analysis for precise demand forecasting and inventory optimization.
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Weka is a collection of machine learning algorithms for data mining tasks; with its own GUI.
Weka is a collection of machine learning algorithms for data mining tasks; with its own GUI.
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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.)
The algorithms can either be applied directly to a dataset or called from your own Java code.
Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
Data Mining
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