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dc.contributor.advisorYarmolchick, Yu. P.ru
dc.contributor.authorJiang, Hairu
dc.coverage.spatialМинскru
dc.date.accessioned2026-02-13T07:37:27Z
dc.date.available2026-02-13T07:37:27Z
dc.date.issued2025
dc.identifier.citationJiang, Hai The role of big data in predictive modeling / Hai Jiang; науч. рук. Yu. P. Yarmolchick // Цифровые технологии и бизнес : материалы 81 студенческой научно-технической конференции, Минск, 15 мая 2025 г. / сост.: М. А. Седнина, М. Г. Карасёва, Д. О. Савчук. – Минск : БНТУ, 2025. – С. 362-365.ru
dc.identifier.urihttps://rep.bntu.by/handle/data/163935
dc.description.abstractIn the era of big data, predictive modeling has become a crucial tool across various industries. This report explores the significant role of big data in predictive modeling, focusing on its applications, advantages, and challenges. By analyzing how big data enhances the accuracy and efficiency of predictive models, this report aims to provide insights into the practical implications of big data in fields such as finance, healthcare, retail, and more.ru
dc.language.isoruru
dc.publisherБНТУru
dc.titleThe role of big data in predictive modelingru
dc.typeWorking Paperru


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