Showing 6 open source projects for "data mining"

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  • 1
    Orange Data Mining

    Orange Data Mining

    Orange: Interactive data analysis

    ...When teaching data mining, we like to illustrate rather than only explain.
    Downloads: 21 This Week
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  • 2
    GISBox by Citiviz

    GISBox by Citiviz

    Ready-to-use appliance for GIS, Data Mining and Analysis, Modelling...

    GISBox by Citiviz is a ready-to-use virtual appliance containing an assortment of powerful, free and open source GIS, Data Mining and Analysis, Modelling and Programming software and packages. The pre-configured and tested GISBox allows you to try and use in few minutes a variety of software used by data scientists, engineers, physicists, mathematicians, geomatics engineers, and geographers from around the globe, without installing anything more than once the Oracle VirtualBox™ software (https://www.virtualbox.org/) on your Linux, Windows or Mac computer. ...
    Downloads: 1 This Week
    Last Update:
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  • 3
    This project aims to be a easy-to-use toolkit of algorithms and utilities for semantic data mining. So far all algorithms are implemented as web services and we provide widgets for their use in the Orange4WS data mining platform.
    Downloads: 0 This Week
    Last Update:
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  • 4
    The Varro toolkit is a system for identifying and frequently recurring unordered subtrees in semi-structured data. It is mostly for linguistics but has applications in semi-structured data mining too.
    Downloads: 0 This Week
    Last Update:
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  • 5

    Augustus

    PMML-compliant scoring engine and analytic toolkit

    ...The new project page is augustus.googlecode.com. New releases of the project are not currently being released to sourceforge. Augustus is designed for statistical and data mining models and produces and consumes models with 10,000s of segments. Versions of Augustus support PMML 3, 4.0.1, and 4.1.
    Downloads: 8 This Week
    Last Update:
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  • 6
    This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
    Downloads: 0 This Week
    Last Update:
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