Showing 6 open source projects for "spatial mining"

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  • 1
    Apache Sedona

    Apache Sedona

    Cluster computing framework for processing large-scale geospatial data

    ...According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments.
    Downloads: 0 This Week
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  • 2
    GEOMS2

    GEOMS2

    Geostatistics and geosciences modeling software

    ...attredirects=0&d=1 http://sourceforge.net/projects/geoms2/files/Mining.7z/download
    Downloads: 6 This Week
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  • 3

    SPAWNN

    SPatial Analysis With self-organizing Neural Networks

    The SPAWNN toolkit is an innovative toolkit for spatial analysis with self-organizing neural networks which is particularily useful for spatial analysis, visualization and geographical data mining. To run the toolkit, simply download and execute (double-click) the jar-file. Please cite: - Hagenauer, J., & Helbich, M. (2016). SPAWNN: A Toolkit for SPatial Analysis With Self-Organizing Neural Networks.
    Downloads: 0 This Week
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  • 4
    The c2001 spatio-temporal mining library

    The c2001 spatio-temporal mining library

    An open source spatio-temporal data mining library

    Current functions: 1. The General Association Rule Mining Framework(GARMF) library, which support mining association rules from transactions(boolean, weighted, fuzzy), spatial datasets (vector and raster) and spatio-temporal datasets (raster snapshots). Besides it support incremental mining. 2. Rule Filtering Library (RFL), a library for rule evaluation. 3. Besides, DAP-Shell, a GUI shell for GARMF and RFL, will be provided.
    Downloads: 0 This Week
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  • Digital business card + lead capture + contact enrichment Icon
    Digital business card + lead capture + contact enrichment

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  • 5

    SubPatCNV

    Approximate association pattern mining algorithm for CNVs.

    ...SubPatCNV is the implementation of a variation of approximate association pattern mining algorithm under a spatial constraint on the positional CNV probe features. The implementation scales to high-density array data with hundreds of thousands features.
    Downloads: 0 This Week
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  • 6

    LiS Chemical Informatics

    Gerald Lushington's chemical informatics development

    ...Software from this site may be used freely and revised as is useful, with the proviso that credit be given in the form of citation or link back to http://gerrylushington.users.sourceforge.net/. The latest tool deposited here (see Code directory) is designed to graphically render (in PyMol) spatial affinity trends derived from molecular docking simulations. Additional tools will be deposited here as time permits. About the developer: Gerald Lushington is a computational scientist with primary interests in chemical informatics, structural biology, drug discovery and molecular modeling. He performs fee-for-service consulting in these areas, as well as data mining and technical writing.
    Downloads: 0 This Week
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