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  2. Data sanitization - Wikipedia

    en.wikipedia.org/wiki/Data_sanitization

    Secret-Restricted Data Cover Sheet, by Glunggenbauer, Shared under CC BY 2.0 Wikimedia. Data sanitization policy must be comprehensive and include data levels and correlating sanitization methods. Any data sanitization policy created must be comprehensive and include all forms of media to include soft- and hard-copy data. Categories of data ...

  3. XSLT - Wikipedia

    en.wikipedia.org/wiki/XSLT

    XSLT 1.0: XSLT was part of the World Wide Web Consortium (W3C)'s eXtensible Stylesheet Language (XSL) development effort of 1998–1999, a project that also produced XSL-FO and XPath. Some members of the standards committee that developed XSLT, including James Clark , the editor, had previously worked on DSSSL.

  4. Data validation and reconciliation - Wikipedia

    en.wikipedia.org/wiki/Data_validation_and...

    Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.

  5. Software verification and validation - Wikipedia

    en.wikipedia.org/wiki/Software_verification_and...

    User input validation: User input (gathered by any peripheral such as a keyboard, bio-metric sensor, etc.) is validated by checking if the input provided by the software operators or users meets the domain rules and constraints (such as data type, range, and format).

  6. 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]

  7. Checksum - Wikipedia

    en.wikipedia.org/wiki/Checksum

    A checksum is a small-sized block of data derived from another block of digital data for the purpose of detecting errors that may have been introduced during its transmission or storage. By themselves, checksums are often used to verify data integrity but are not relied upon to verify data authenticity. [1]

  8. Formal verification - Wikipedia

    en.wikipedia.org/wiki/Formal_verification

    (October 2022) (Learn how and when to remove this message) The growth in complexity of designs increases the importance of formal verification techniques in the hardware industry . [ 8 ] [ 9 ] At present, formal verification is used by most or all leading hardware companies, [ 10 ] but its use in the software industry is still languishing.

  9. Help:Cheatsheet - Wikipedia

    en.wikipedia.org/wiki/Help:Cheatsheet

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