| DC Field | Value | Language |
|---|
| dc.contributor.author | Божко, С. С. | - |
| dc.contributor.author | Пилецкий, И. И. | - |
| dc.contributor.author | Слисенко, К. Ю. | - |
| dc.date.accessioned | 2015-10-16T10:48:48Z | - |
| dc.date.accessioned | 2017-07-18T11:55:20Z | - |
| dc.date.available | 2015-10-16T10:48:48Z | - |
| dc.date.available | 2017-07-18T11:55:20Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.citation | Божко С. С. Некоторые алгоритмы потоковой обработки данных // BIG DATA and Predictive Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий : сборник материалов международной научно-практической конференции / редкол. : М. П. Батура [и др.]. – Минск : БГУИР, 2015. – С. 202-205 | ru_RU |
| dc.identifier.isbn | 978-985-543-146-7 | - |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/4951 | - |
| dc.description.abstract | This paper will describe some algorithmic techniques developed for handling large amounts of data that is often available in limited ways. Topics that will be covered include data stream algorithms that allow real-time processing of data, scale extraordinarily well, and are simple to implement, random algorithms and probabilistic data structures. They are algorithmically efficient and can provide shockingly good practical results. | ru_RU |
| dc.language.iso | ru | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | обработка данных | ru_RU |
| dc.subject | алгоритм | ru_RU |
| dc.title | Некоторые алгоритмы потоковой обработки данных | ru_RU |
| dc.type | Article | ru_RU |
| Appears in Collections: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2015)
|
