Showing 9 open source projects for "mining"

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    TeaCrypt-lib

    TeaCrypt-lib

    Tiaray's Exposed Architecture library

    Exposed architecture for integrity and confidentiality. Librairie en matière première pour la cybersécurité.
    Downloads: 0 This Week
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  • 2
    jMIR

    jMIR

    Music research software

    ...It also includes tools for managing and profiling large music collections and for checking audio for production errors. jMIR includes software for extracting features, applying machine learning algorithms, applying heuristic error error checkers, mining metadata and analyzing metadata.
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    Downloads: 20 This Week
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  • 3
    C++ Travel Customer Choice Model Library
    That project aims at providing a clean API, and the corresponding C++ implementation, for choosing one item among a set of travel solutions, given demand-related characteristics (e.g., Willingness-To-Pay, preferred airline, preferred cabin, etc.).
    Downloads: 0 This Week
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  • 4
    jCompoundMapper
    Library for fingerprinting (decomposition) of chemical compounds. It has several tweaking possibilities and exporting options for data mining toolkits.
    Downloads: 3 This Week
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  • 5

    TML - Text Mining Library for LSA & CMM

    TML is a Java Library for LSA and extracting Concept Maps from text

    TML has moved to http://www.villalon.cl/tml.html and the code to https://github.com/villalon/tml
    Downloads: 0 This Week
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  • 6
    MSR Tools is a source code evolution analysis tool. It consists of a framework for mining software repositories and tools for metric calculation, visualization, defect prediction.
    Downloads: 2 This Week
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  • 7
    Apellicon
    Apellicon is a web-based administration suite for Textpresso. Textpresso is an open-source text-mining system for scientific literature. Apellicon implements all of the steps required to build and maintain a Textpresso database.
    Downloads: 0 This Week
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  • 8
    Facilitates data mining/natural language processing experiments to be executed on weblogs, such as classification, clustering and rating. As part of these experiments, it is possible to apply Latent Semantic Analysis.
    Downloads: 0 This Week
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  • 9
    KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
    Downloads: 0 This Week
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