https://libeldoc.bsuir.by/handle/123456789/54295| Title: | Analysis and application of data reduction methods in decision support systems |
| Authors: | Maroz, A. Valvachev, A. |
| Keywords: | материалы конференций;data reduction;principal component analysis;decision support system;big data;small data |
| Issue Date: | 2023 |
| Publisher: | BSU |
| 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. |
| 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. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/54295 |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Maroz_Analysis.pdf | 281.84 kB | Adobe PDF | View/Open |
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