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Regex experts should note that \n does not mean "newline," \d does not mean "digit," and so on. Regex experts should note that ^ does not mean "beginning of text" and $ does not mean "end of text." Searching from the beginning or end of a Wikipedia page is not generally useful.
Telephone number verification (or validation) services are online services used to establish whether a given telephone number is in service. They may include a form of Turing test to further determine if a human answers or answering equipment such as a modem , fax , voice mail or answering machine .
Regular expressions are used in search engines, in search and replace dialogs of word processors and text editors, in text processing utilities such as sed and AWK, and in lexical analysis. Regular expressions are supported in many programming languages. Library implementations are often called an "engine", [4] [5] and many of these are ...
Therefore, systems that pad to a specific number of digits (by converting 1234 to 0001234 for instance) can perform Luhn validation before or after the padding and achieve the same result. The algorithm appeared in a United States Patent [ 1 ] for a simple, hand-held, mechanical device for computing the checksum.
Automatic number identification (ANI) [1] [2] is a feature of a telecommunications network for automatically determining the origination telephone number on toll calls for billing purposes. Automatic number identification was originally created by the American Telephone and Telegraph Company (AT&T) for long distance service in the Bell System ...
Random digit dialing (RDD) is a method for selecting people for involvement in telephone statistical surveys by generating telephone numbers at random. Random digit dialing has the advantage that it includes unlisted numbers that would be missed if the numbers were selected from a phone book .
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]
Inspection is a verification method that is used to compare how correctly the conceptual model matches the executable model. Teams of experts, developers, and testers will thoroughly scan the content (algorithms, programming code, documents, equations) in the original conceptual model and compare with the appropriate counterpart to verify how closely the executable model matches. [1]