Showing 5 open source projects for "pdf data mining"

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  • 1
    JupyterLab

    JupyterLab

    JupyterLab computational environment

    ...Documents and activities integrate with each other, enabling new workflows for interactive computing. JupyterLab also offers a unified model for viewing and handling data formats. JupyterLab understands many file formats (images, CSV, JSON, Markdown, PDF, Vega, Vega-Lite, etc.) and can also display rich kernel output in these formats. See File and Output Formats for more information. To navigate the user interface, JupyterLab offers customizable keyboard shortcuts and the ability to use key maps from vim, emacs, and Sublime Text in the text editor.
    Downloads: 99 This Week
    Last Update:
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  • 2

    NetworkService

    Networking framework for Java applications

    ...See how to use NetworkService:- https://sourceforge.net/projects/networkservice/files/NetworkService1.0.0.3/ See other applications using NetworkService: -A search system for PDF files stored on different PCs. https://sourceforge.net/projects/networkservice/files/Example
    Downloads: 0 This Week
    Last Update:
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  • 3
    ...Open XDMoD has been developed to provide detailed information on resource utilization and performance for academic and industrial HPC centers. More information is available at http://xdmod.sourceforge.net/ UBMoD is a data warehouse and web portal for mining statistical data from resource managers in high-performance computing environments. UBMoD presents resource utilization over set time periods and provides detailed interactive charts, graphs, and tables.
    Downloads: 0 This Week
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  • 4
    WSRF-compliant tools and services for data mining in grid computing environments, based on: Globus Toolkit 4, Condor and Triana workflow system. Learn more at: http://www.datamininggrid.org Copyright (c) 2008 DataMiningGrid Consortium.
    Downloads: 0 This Week
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  • 5
    This project aims to create a method able to determine the most frequent word phrases in a large source of text data (>5 Gb) using the computational power of multiple processors.
    Downloads: 0 This Week
    Last Update:
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