ALGORITHM OF INDIVIDUALS’ DETAILS IDENTIFICATION IN THE DATABASES BY LEVENSTEIN METRIC
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A problem of individuals’ personal identification with partially or fully conflicting details occurs when transferring data from one institution to another. An optimal identification algorithm is proposed based on Levenshtein metric that makes it possible to search individuals in the database by fuzzy comparison. The algorithm is implemented in PL-SQL language in Oracle 11g database.