| Title: | The problem of fuzzy duplicate detection of large texts |
| Issue Date: | 2018 |
| Publisher: | Новая техника |
| Citation: | E.V. Sharapova. The problem of fuzzy duplicate detection of large texts / E.V. Sharapova, R.V. Sharapov // Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С.2565-2572. |
| Abstract: | In the paper, we considered the problem of fuzzy duplicate detection. There are given the basic approaches to detection of text duplicates – distance between strings, fuzzy search algorithms without indexing data, fuzzy search algorithms with indexing data. The review of existing methods for the fuzzy duplicate detection is given. The algorithm of fuzzy duplicate detection is present. The algorithm of fuzzy duplicate texts detection was implemented in the system AVTOR.NET. The use of filtering text, stemming and character replacement, allow the algorithm to found duplicates even in minor modified texts. |
| Description: | Основная статья |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/13714 |
| Appears in Collections: | Информационные технологии и нанотехнологии |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| The problem of fuzzy duplicate detection of large texts.pdf | Основная статья | 168.43 kB | Adobe PDF | View/Open |
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