When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. ISBN - Wikipedia

    en.wikipedia.org/wiki/ISBN

    Each of the first nine digits of the 10-digit ISBN—excluding the check digit itself—is multiplied by its (integer) weight, descending from 10 to 2, and the sum of these nine products found. The value of the check digit is simply the one number between 0 and 10 which, when added to this sum, means the total is a multiple of 11.

  3. 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:

  4. 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.

  5. 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.

  6. Luhn algorithm - Wikipedia

    en.wikipedia.org/wiki/Luhn_algorithm

    The Luhn algorithm or Luhn formula, also known as the "modulus 10" or "mod 10" algorithm, named after its creator, IBM scientist Hans Peter Luhn, is a simple check digit formula used to validate a variety of identification numbers.

  7. 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]

  8. Category:Database algorithms - Wikipedia

    en.wikipedia.org/wiki/Category:Database_algorithms

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  9. Check digit - Wikipedia

    en.wikipedia.org/wiki/Check_digit

    The final digit of a Universal Product Code, International Article Number, Global Location Number or Global Trade Item Number is a check digit computed as follows: [3] [4]. Add the digits in the odd-numbered positions from the left (first, third, fifth, etc.—not including the check digit) together and multiply by three.