Showing 8 open source projects for "data processing"

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  • 1
    Web based cataloging and dedupe application. Highly optimized for processing journal articles. Reads MarcXML and dedupes records using the field 773 combined with a fuzzy search on the title. Written for bibnet.org
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  • 2
    Modular application for biomedical data processing.
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  • 3
    Open Cezeri Library

    Open Cezeri Library

    Effective Linear Algebra and Computer Vision Library with JAVA

    OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1-...
    Downloads: 1 This Week
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  • 4
    A java library for the processing and analysis of natural language texts and other sequential data. The focus is on unsupervised modeling with simple, statistical methods as well as implementations of more complex algorithms.
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  • 5
    The METS API is a Java API designed to aid developers in the processing and assembly of METS Documents.
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  • 6
    This project defines the Simple API for Binary REpresentations (SABRE) for processing hierarchically structured, binary-oriented documents, comparable to the Simple API for XML (SAX). The library is e.g. used in the Java ISO Image Creator (JIIC).
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  • 7
    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.
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  • 8
    Cairo (Complex Archive Ingest for Repository Objects) is a tool for processing digital archives prior to submitting them to archival storage for long-term preservation; among other features, this includes format identification and metadata extraction.
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