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  2. Wikipedia:ISBN - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:ISBN

    ISBN-10 and ISBN-13 use different check digit algorithms to compute the last digit of the ISBN. The following tools will convert any ISBN-10 to an ISBN-13 along with the correct check digit value. Nihiltres' ISBN tool; ISBN converter of the U.S. Library of Congress; ISBN converter of ISBN.org; Stylistically, please:

  3. Check digit - Wikipedia

    en.wikipedia.org/wiki/Check_digit

    This system detects all single-digit errors and around 90% [citation needed] of transposition errors. 1, 3, 7, and 9 are used because they are coprime with 10, so changing any digit changes the check digit; using a coefficient that is divisible by 2 or 5 would lose information (because 5×0 = 5×2 = 5×4 = 5×6 = 5×8 = 0 modulo 10) and thus ...

  4. 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]

  5. ISBN - Wikipedia

    en.wikipedia.org/wiki/ISBN

    [c] [3] An International Standard Book Number consists of four parts (if it is a 10-digit ISBN) or five parts (for a 13-digit ISBN). Section 5 of the International ISBN Agency's official user manual [17]: 11 describes the structure of the 13-digit ISBN, as follows: The parts of a 10-digit ISBN and the corresponding EAN‑13 and barcode.

  6. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    Multiple kinds of data validation are relevant to 10-digit pre-2007 ISBNs (the 2005 edition of ISO 2108 required ISBNs to have 13 digits from 2007 onwards [3]). Size. A pre-2007 ISBN must consist of 10 digits, with optional hyphens or spaces separating its four parts. Format checks.

  7. 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.

  8. Category:Database algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:Database_algorithms

    Download as PDF; Printable version; In other projects Wikidata item; ... Pages in category "Database algorithms" The following 11 pages are in this category, out of ...

  9. Software verification and validation - Wikipedia

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

    Validation during the software development process can be seen as a form of User Requirements Specification validation; and, that at the end of the development process is equivalent to Internal and/or External Software validation. Verification, from CMMI's point of view, is evidently of the artifact kind.

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