Showing 33 open source projects for "pdf data mining"

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  • 1
    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
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  • 2
    Cute Thermowell
    Cute Thermowell is now part of LibreEngineering suite: http://sourceforge.net/projects/libreeng/
    Downloads: 0 This Week
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  • 3
    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
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  • 4

    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: 3 This Week
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  • 5
    easy to use sepctrography software. allow to display spectrography curves, and to overlay severals curves. you can create firste or second derivatives from the curves, or place marks to identify peaks. finals drawings can be saved as png or pdf files.
    Downloads: 0 This Week
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  • 6
    Crow - Computational Representation Of Whatever. A platform for the integration and mining of complex and distributed data. Represents cross-linked semantic web documents as a network of software objects and offers easy ways to filter, and sort them.
    Downloads: 0 This Week
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  • 7
    pyCatalog is a Python, MySQL, wxPython, Reportlab application specifically usable in library and information centers. It simply produces book catalog and card catalog in pdf format rendered using reportlab. The program takes MARC file as its source data.
    Downloads: 0 This Week
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  • 8
    This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
    Downloads: 0 This Week
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