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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/306224
Title: Analysis and application of data reduction methods in decision support systems
Authors: Maroz, Artsiom
Valvachev, Alexander
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика
ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
Issue Date: 2023
Publisher: Minsk : BSU
Citation: Pattern Recognition and Information Processing (PRIP’2023). Artificial Universe: New Horisont : Proceedings of the 16 th International Conference, Belarus, Minsk, October 17–19, 2023 / Belarusian State University : eds. A. Nedzved, A. Belotserkovsky. – Minsk : BSU, 2023. – Pp. 166-168.
Abstract: The paper addresses the problem of rapid growth of corporate data, which leads to a delay in decision-making and a decrease in their quality. A new approach to decision-making based on big data reduction is proposed, which reduces the time for synthesizing solutions while maintaining their quality and reducing the cost of processing
URI: https://elib.bsu.by/handle/123456789/306224
ISBN: 978-985-881-522-6
Licence: info:eu-repo/semantics/openAccess
Appears in Collections:2023. Pattern Recognition and Information Processing (PRIP’2023). Artificial Intelliverse: Expanding Horizons

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