Samara University Repository
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This is an open electronic archive created to preserve and disseminate the scientific results of our university. The works of researchers, faculty members, and students are available to everyone for academic and research purposes.
The repository contains dissertations, research articles, educational and methodological materials, monographs, and regulatory documents. The collections cover a wide range of fields: from aerospace technologies, engine engineering, and computer science to history, linguistics, mathematics, and ecology. The archive brings together the scientific heritage of the university, including materials prepared during the period of Samara State Aerospace University and Samara State University.
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Жердев, Д.А. | |
| dc.contributor.author | Хрипунов, П.В. | |
| dc.date | 2018 | |
| dc.date.accessioned | 2025-08-22T12:18:25Z | - |
| dc.date.available | 2025-08-22T12:18:25Z | - |
| dc.date.issued | 2018 | |
| dc.identifier.identifier | Dspace\SGAU\20180518\69605 | |
| dc.identifier.citation | Жердев Д.А. Сегментация персональных данных с использованием показателя сопряженности / Жердев Д.А., Хрипунов П.В. // Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С.2799-2802 | |
| dc.identifier.uri | http://repo.ssau.ru/jspui/handle/123456789/13699 | - |
| dc.description.abstract | В работе рассматривается возможность применения метода обработки персональных данных и выявлений сходства записей на основе разделения большой базы данных на подклассы. Для решения поставленной задачи нами используется показатель сопряженности. Данный показатель демонстрирует свою эффективность как при решении задачи распознавания, так и при решении задачи кластеризации данных. The paper proposes a method for processing personal data that allows them to be divided into many segments or classes. The customer database is used as the source data. We use the indicator of conjugacy that has already proved the effectiveness in both recognition and clustering of data problems. | |
| dc.language | rus | |
| dc.publisher | Новая техника | |
| dc.title | Сегментация персональных данных с использованием показателя сопряженности | |
| dc.title.alternative | Personal data segmentation based on conjugation index usage | |
| dc.type | Article | |
| local.identifier.olduri | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Segmentaciya-personalnyh-dannyh-s-ispolzovaniem-pokazatelya-sopryazhennosti-69605 | |
| local.identifier.olduri | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Segmentaciya-personalnyh-dannyh-s-ispolzovaniem-pokazatelya-sopryazhennosti-69605 | |
| Appears in Collections: | Информационные технологии и нанотехнологии | |
| File | Description | Size | Format | |
|---|---|---|---|---|
| paper_377.pdf | основная статья | 161.58 kB | Adobe PDF | View/Open |
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