https://libeldoc.bsuir.by/handle/123456789/31372| Название: | Using apriori algorithm for investigation of Economic Data |
| Авторы: | Acheampong, F. Markovskaya, N. V. |
| Ключевые слова: | материалы конференций;apriori algoritm;association rule |
| Дата публикации: | 2018 |
| Издательство: | БГУИР |
| Описание: | 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. |
| Аннотация: | 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. |
| URI: | https://libeldoc.bsuir.by/handle/123456789/31372 |
| Располагается в коллекциях: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2018) |
| Файл | Описание | Размер | Формат | |
|---|---|---|---|---|
| Acheampong _Using.PDF | 585.14 kB | Adobe PDF | Открыть |
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