DC Field | Value | Language |
dc.contributor.author | Batura, M. P. | - |
dc.contributor.author | Dzik, S. K. | - |
dc.contributor.author | Tsyrelchuk, I. N. | - |
dc.contributor.author | Borovikov, S. M. | - |
dc.date.accessioned | 2016-09-29T12:38:49Z | - |
dc.date.accessioned | 2017-07-18T11:52:21Z | - |
dc.date.available | 2016-09-29T12:38:49Z | - |
dc.date.available | 2017-07-18T11:52:21Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Big Data Volumes and Some Approaches to the Creation of Corporate Analytical Systems / M. P. Batura [et al.] // BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий : сборник материалов II международной научно-практической конференции, Минск, 15-17 июня 2016 г. / редкол. : М. П. Батура [и др.]. – Минск : БГУИР, 2016. – С. 74–80. | ru_RU |
dc.identifier.isbn | 978-985-543-237-2 | - |
dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/9169 | - |
dc.description.abstract | Premises of origin, the main tasks and problems of the technology of Big Data were reviewed in the article. Authors suggest a possible approach to creating a corporate analytical system based on the technology of Big Data. The system is intended for use with Big Data attributes and prediction value of the target variable. Predictive value of the target variable is recommended to find separately from the data obtained from different sources, and to do the resulting forecast taking into account the reliability of data sources used. Formula obtaining the resulting forecast and calculation of its reliability is present in the article. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | БГУИР | ru_RU |
dc.subject | материалы конференций | ru_RU |
dc.title | Big Data Volumes and Some Approaches to the Creation of Corporate Analytical Systems | ru_RU |
dc.type | Article | ru_RU |
Appears in Collections: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2016)
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