Showing 3 open source projects for "memory"

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    OYSTER Entity Resolution

    OYSTER Entity Resolution

    OYSTER is an Entity Resolution engine

    ...OYSTER (Open sYSTem Entity Resolution) is an entity resolution system that supports probabilistic direct matching, transitive linking, and asserted linking. To facilitate prospecting for match candidates (blocking), the system builds and maintains an in-memory index of attribute values to identities. Because OYSTER has an identity management system, it also supports persistent identity identifiers. OYSTER is unique among other ER systems in that it is built to incorporate Entity Identity Information Management (EIIM). OYSTER supports EIIM by providing methods that enforce identifiers to be unique among identities, maintain persistent IDs over the life of an identity, and allowing the ability to fix false-positive and false-negative resolutions, which cannot be done with matching rules, through the use of assertion, traceability, and other features.
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  • 2

    QASreport

    QASreport - is a multi-platform C ++ Qt library for building reports

    ...It is intended to add to the application of automation to create, save, report output. Reports templates are stored in XML format. And can be stored and loaded from a file on disk, memory, or table blob fields. The library contains built-in designer, available in run-time, with the ability to work like a normal graphic editor. Possible conclusion of the tables of any SQL database, which is connected to the driver. And the output of any source data models, inherited from QAbstractItemModel.
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  • 3
    nervalreports

    nervalreports

    A lightweight report creation Java library

    Nerval Reports is a lightweight report creation library, focused on minimal computational costs. Ideally, report creation should iterate only once through its data and minimize memory allocation and processor's use, but also restrict its dependencies only to what your specific use needs. Instead of the highly expensive way of well-known engines like Jasper Reports, where performance and data reiteration is a big and set aside problem (and also is the report design as a non-programming task), at Nerval Reports the data should be sent directly when iterating through it (ie: when using databases, one will create its report while iterating through the result set - instead of creating a bunch of collections to pass them to the library), and the design is mainly focused on programmer side. ...
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