| DC Field | Value | Language |
|---|
| dc.contributor.author | Maroz, A. | - |
| dc.contributor.author | Valvachev, A. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-02-20T14:09:46Z | - |
| dc.date.available | 2024-02-20T14:09:46Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Maroz, A. Analysis and application of data reduction methods in decision support systems / A. Maroz, A. Valvachev // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 166–168. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/54295 | - |
| dc.description.abstract | The paper addresses the problem of rapid growth of corporate data, which leads to a delay in decision-making and a decrease in their quality. A new approach to decision-making based on big data reduction is proposed, which reduces the time for synthesizing solutions while maintaining their quality and reducing the cost of processing. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | BSU | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | data reduction | en_US |
| dc.subject | principal component analysis | en_US |
| dc.subject | decision support system | en_US |
| dc.subject | big data | en_US |
| dc.subject | small data | en_US |
| dc.title | Analysis and application of data reduction methods in decision support systems | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)
|
