Searching method of personal details on the basis of fuzzy comparison
During the information exchange from one department to another the problem of personal identification arises. This problem concerns people who have partially or completely not coinciding personal details. In represented work the new method and algorithm for such people identification are elaborated....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Ivannikov Institute for System Programming of the Russian Academy of Sciences
2018-10-01
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| Series: | Труды Института системного программирования РАН |
| Subjects: | |
| Online Access: | https://ispranproceedings.elpub.ru/jour/article/view/655 |
| Summary: | During the information exchange from one department to another the problem of personal identification arises. This problem concerns people who have partially or completely not coinciding personal details. In represented work the new method and algorithm for such people identification are elaborated. This method is based on fuzzy comparison and on the metrics of Levenshtein. The algorithm, developed in the form of Data Mining process, allows defining people quickly according to earlier carried out search. The built-in system of personal details priority gives the opportunity to identify person in such cases as changing of surname, name, moving, mistakes from manual data input and if personal details are partially absent also. The algorithm was realized by PL-SQL in Oracle 11g database management system. |
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| ISSN: | 2079-8156 2220-6426 |