Showing 6 open source projects for "arff"

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  • AestheticsPro Medical Spa Software Icon
    AestheticsPro Medical Spa Software

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  • The Most Powerful Software Platform for EHSQ and ESG Management Icon
    The Most Powerful Software Platform for EHSQ and ESG Management

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  • 1
    GFP- GAKNN
    GAKNN is a data mining software for gene annotation data. GAKNN is built with k- Nearest Neighbour algorithm optimized by the genetic algorithm. Gene annotation datasets saved under .csv or .arff formats with Gene Ontology or FunCat categorization can use GAKNN to predict gene functions.
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  • 2
    Clown is a "clustering" framework. It allows you to cluster datasets (in ARFF) format using a number of different clustering algorithms.
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  • 3
    Provide access to structured file formats (dbase, arff, csv, bibtex) as JDBC ResultSet
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  • 4
    A utility to extract data from RDBMSs and convert into .arff file format required by WEKA data mining tool set, both interactive wizard and batch working modes.
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  • Best Visitor Management System Icon
    Best Visitor Management System

    Instantly Notify Staff Of Deliveries And Guest Arrivals To Increase Your Efficiency

    <p class="mb-4">Do stacks of paperwork pile up at the front desk area? Or are your receptionists constantly filing reports, guest log-in information and NDAs – taking them away from other important tasks? Not anymore! Our Visitor Management System automates all these processes, streamlining your workflow. Guests can complete inductions, sign NDAs, fill in their contact details and much more using the easy software. These records are then automatically filed and stored, making life easy for receptionists and the HR team. Claim your FREE 7-day trial and experience how VisitUs can transform your workplace!</p>
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  • 5
    A Visual Studio .NET C++ application can perform machine learning using genetic algorithm, naive bayes, KNN, and Artificial Neural Networks (ANNs) read and processed from any standard ARFF.
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  • 6
    ktdata is a C++ library for accessing tabular data, like from CSV files. Its goals are: 1. object design 2. portability (Linux and Windows support at least) 3. high performance 4. support for common data file formats, like CSV, ARFF (Weka), etc.
    Downloads: 0 This Week
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