| DC Field | Value | Language |
|---|
| dc.contributor.author | Acheampong, F. | - |
| dc.contributor.author | Markovskaya, N. V. | - |
| dc.date.accessioned | 2018-05-08T08:40:23Z | - |
| dc.date.available | 2018-05-08T08:40:23Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.citation | Acheampong, F. Using apriori algorithm for investigation of Economic Data / F. Acheampong, N. V. Markovskaya // BIG DATA Advanced Analytics: collection of materials of the fourth international scientific and practical conference, Minsk, Belarus, May 3 – 4, 2018 / editorial board: М. Batura [etc.]. – Minsk, BSUIR, 2018. – Р. 139 – 143. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/31372 | - |
| dc.description.abstract | Looking at the trend the world’s economy is taking and the significant role the financial market is
playing, a nation needs technical brains equipped with the necessary skills and knowledge to make good economics decisions, manage risk and most importantly, forecast what is expected in both the short and the long run. It is for this reason
that the market needs a data analyst to forecast what is expected in the near future for profit maximization. This article is
designed to explain and analyse the use of an algorithm Apriori using the associative rules in the available data sets. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | apriori algoritm | ru_RU |
| dc.subject | association rule | ru_RU |
| dc.title | Using apriori algorithm for investigation of Economic Data | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2018)
|
