Showing 3 open source projects for "weka parallel"

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    ADAMS

    ADAMS

    ADAMS is a workflow engine for building complex knowledge workflows.

    ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes. Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators. Operators include machine learning (WEKA, MOA, MEKA) and image processing (ImageJ, JAI, BoofCV, LIRE and Gnuplot). R available using Rserve. WEKA webservice allows other frameworks to use WEKA models. Fast prototyping with Groovy and Jython. ...
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    Downloads: 6 This Week
    Last Update:
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  • 2

    FlexDM

    Simple, parallel and fault-tolerant data mining using WEKA

    FlexDM has moved to http://madiflannery.github.io/FlexDM/
    Downloads: 0 This Week
    Last Update:
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  • 3
    Weka-Parallel is a modification to Weka, created with the intention of being able to harness the power of Weka and the speed of parallel processing to be able to run a number of data mining and machine learning algorithms quickly.
    Downloads: 0 This Week
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