| DC Field | Value | Language |
|---|
| dc.contributor.author | Дроздов, В. С. | - |
| dc.date.accessioned | 2017-11-28T06:45:37Z | - |
| dc.date.available | 2017-11-28T06:45:37Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Дроздов, В. С. Big Data аналитика и ее применение / В. С. Дроздов // BIG DATA and Advanced Analytics: collection of materials of the third international scientific and practical conference, Minsk, Belarus, May 3–4, 2017 / editorial board : М. Batura [et al.]. – Minsk : BSUIR, 2017. – С. 232-237. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/28097 | - |
| dc.description.abstract | Big data provides the opportunity to discover phenomena and laws, which until now was beyond our
understanding; linking various aspects of the system to help you better understand their behavior; to assist in the descrip-
tion of complex phenomena and processes; coordinate descriptions of complex systems and enables you to build models
that predict their dynamic behavior. These capabilities are deeply relevant to many research fields such as weather fore-
casting and climate, studies of the brain; determining the state of the global economy; the assessment of performance in
agriculture; demographic projections. | ru_RU |
| dc.language.iso | ru | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | Big Data | ru_RU |
| dc.subject | аналитика | ru_RU |
| dc.title | Big Data аналитика и ее применение | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2017)
|
