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  2. Data set (IBM mainframe) - Wikipedia

    en.wikipedia.org/wiki/Data_set_(IBM_mainframe)

    In the context of IBM mainframe computers in the S/360 line, a data set (IBM preferred) or dataset is a computer file having a record organization. Use of this term began with, e.g., DOS/360, OS/360, and is still used by their successors, including the current z/OS. Documentation for these systems historically preferred this term rather than file.

  3. EPSG Geodetic Parameter Dataset - Wikipedia

    en.wikipedia.org/.../EPSG_Geodetic_Parameter_Dataset

    The dataset was created in 1985 by Jean-Patrick Girbig of Elf, to "standardize, improve and share spatial data between members of the European Petroleum Survey Group". [5] It was made public in 1993. [6] In 2005, the EPSG organisation was merged into International Association of Oil & Gas Producers (IOGP), and became the Geomatics Committee ...

  4. Terrorist Screening Database - Wikipedia

    en.wikipedia.org/wiki/Terrorist_Screening_Database

    The TSDB is overseen by the FBI Terrorist Screening Center.It was created after the September 11 attacks. [1] A 2007 report by the U.S. Department of Justice Office of the Inspector General stated that the TSDB, as the "U.S. Government's consolidated terrorist watchlist" contained "basic biographical information on known or appropriately suspected domestic and international terrorists" and ...

  5. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  6. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data. [1]

  7. Synthetic data - Wikipedia

    en.wikipedia.org/wiki/Synthetic_data

    Synthetic data is generated to meet specific needs or certain conditions that may not be found in the original, real data. One of the hurdles in applying up-to-date machine learning approaches for complex scientific tasks is the scarcity of labeled data, a gap effectively bridged by the use of synthetic data, which closely replicates real experimental data. [3]

  8. ImageNet - Wikipedia

    en.wikipedia.org/wiki/ImageNet

    The full original dataset is referred to as ImageNet-21K. ImageNet-21k contains 14,197,122 images divided into 21,841 classes. Some papers round this up and name it ImageNet-22k. [17] ImageNetV2 was a new dataset containing three test sets with 10,000 each, constructed by the same methodology as the original ImageNet. [18]

  9. Data anonymization - Wikipedia

    en.wikipedia.org/wiki/Data_anonymization

    According to the EDPS and AEPD, no one, including the data controller, should be able to re-identify data subjects in a properly anonymized dataset. [8] Research by data scientists at Imperial College in London and UCLouvain in Belgium, [ 9 ] as well as a ruling by Judge Michal Agmon-Gonen of the Tel Aviv District Court, [ 10 ] highlight the ...

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