Showing 58 open source projects for "data mining"

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    Ango Hub | All-in-one data labeling platform

    For AI teams and Computer Vision team in organizations of all size

    AI-Assisted features of the Ango Hub will automate your AI data workflows to improve data labeling efficiency and model RLHF, all while allowing domain experts to focus on providing high-quality data.
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  • IT Asset Management (ITAM) Software Icon
    IT Asset Management (ITAM) Software

    Supercharge Your IT Assets, the Easy Way

    EZO AssetSonar is a comprehensive IT asset management platform that provides real-time visibility into your entire digital infrastructure. Track and optimize hardware, software, and license management to reduce risks, control IT spend, and improve compliance.
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  • 1
    Automated trading system extracts stock quotes from Forex, MetaTrader and tries to detemine points to open/close orders. Using moving average. Implemented in Java. Future versions will use such cool stuff as data mining and artificial inteligance.
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  • 2
    ESTminer is a Web application and database schema for interactive mining of expressed sequence tag (EST) contig and cluster data sets.
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  • 3
    A collection of tools for Data Mining that aims to be Data Source independent
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  • 4
    Weka-Parallel is a modification to Weka, created with the intention of being able to harness the power of Weka and the speed of parallel processing to be able to run a number of data mining and machine learning algorithms quickly.
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  • GR4VY: Payment Orchestration Platform Icon
    GR4VY: Payment Orchestration Platform

    Payment orchestration platform that connects PSPs, methods, and tools in one layer, streamlining payments and increasing success rates.

    Gr4vy’s payment orchestration platform empowers enterprise merchants and platforms to optimize their stack and create bespoke checkout experiences, giving you full control over your payment strategy.
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  • 5
    Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other
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  • 6
    Data Mining in Time Series
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  • 7
    This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
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  • 8
    What is TIMS? Converts streets and highways into logical point system and retrieves traffic information from this points. Application Features Data Mining Real time analysis
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