Showing 9 open source projects for "query"

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  • 1
    Rank-BM25

    Rank-BM25

    A Collection of BM25 Algorithms in Python

    A collection of algorithms for querying a set of documents and returning the ones most relevant to the query. The most common use case for these algorithms is, as you might have guessed, to create search engines.
    Downloads: 0 This Week
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  • 2
    C-squares

    C-squares

    Concise spatial query and representation system (c-squares)

    C-squares is an easily implemented method for storage, querying and display of spatial data locations, based on a hierarchical, grid-based representation of the Earth' surface. Source code for encoding, decoding, mapping, etc. is provided via this site. Additional support is available by contacting the system developer, Tony.Rees@marinespecies.org; see also the c-squares home page at http://www.cmar.csiro.au/csquares/ .
    Downloads: 1 This Week
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  • 3

    GTkNN

    GPU-based Textual kNN (GT-kNN)

    The following code is a parallel kNN implementation that uses GPUs for the high dimensional data in text classification. You can use it to classify documents using kNN or to generate meta-features based on the distances between a query document and its k nearest neigbors
    Downloads: 0 This Week
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  • 4
    Java Query Library
    JaQLib is a compact Java library that supports programmers in querying all sorts of collections, DBs and XML files in a compact and intuitive manner. Example: List<MyItem> result = Jaqlib.List.selectFrom(myCollection) .where(myCondition).asList()
    Downloads: 0 This Week
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    S-Match

    S-Match

    S-Match is a semantic matching framework.

    ...S-Match applies as a solution in many fields, including: information integration, ontology evolution and alignment, peer-to-peer information sharing, digital libraries integration, web service composition, agent communication, and query answering on the web. S-Match is extendable to host new algorithms.
    Downloads: 0 This Week
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  • 6
    Semantic query optimization (SQO) is the process of finding equivalent rewritings of an input query given constraints that hold in a database instance. We present a Chase & Backchase (C&B) algorithm strategy that generalizes and improves on well-known methods in the field. The implementation of our approach, the pegasus system, outperforms existing C&B systems an average by two orders of magnitude.
    Downloads: 0 This Week
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  • 7
    MDQuery is a multi-dimensional aggregation class library written in VB.net originally, ported to C#.net with a lightweight query language for rapid prototyping.
    Downloads: 0 This Week
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  • 8
    JXmlSql is a Java database API ( MySql, Oracle, Access )that eliminates JDBC code. JXmlSql allows developers to define application and prepopulation SQL statements inside xml files. Options for query, insert, update, delete, report and prepopulation SQL.
    Downloads: 0 This Week
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  • 9
    This project aims at providing an implementation of some state-of-the-art techniques for summarizing multi-dimensional data. Multi-dimensional data summarization can effectively support query optimization algorithms and OLAP applications.
    Downloads: 0 This Week
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