| DC Field | Value | Language |
|---|
| dc.contributor.author | Guo, Quang | - |
| dc.contributor.author | Geman, O. V. | - |
| dc.coverage.spatial | Минск | - |
| dc.date.accessioned | 2022-11-30T07:19:16Z | - |
| dc.date.available | 2022-11-30T07:19:16Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Guo, Quang Imbalanced data classification algorithm / Quang Guo, O. V. Geman // Информационные технологии и системы 2022 (ИТС 2022) = Information Technologies and Systems 2022 (ITS 2022) : материалы Международной научной конференции, Минск, 23 ноября 2022 / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск : БГУИР, 2022. – С. 151–152. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/49209 | - |
| dc.description.abstract | This article mainly analyzes the characteristics and challenges of inbalanced data, analyzes the research status of imbalanced data integration classification algorithms and combines the actual situation, based on ensemble learning. Research and improvement of classification algorithms. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | data algorithms | ru_RU |
| dc.subject | imbalanced data classification | ru_RU |
| dc.subject | machine learning | ru_RU |
| dc.title | Imbalanced data classification algorithm | ru_RU |
| dc.type | Article | ru_RU |
| Appears in Collections: | ИТС 2022
|
