Algebraic Models for Data and Knowledge Representation in Modern Database Management Systems
( Pp. 78-84)
More about authors
Kuchumov Ilia V.
Head, Development Department
Yandex
Moscow, Russian Federation Kuchumov.ilya@gmail.com E-mail: Head, Development Department; Yandex; Moscow, Russian Federation
Yandex
Moscow, Russian Federation Kuchumov.ilya@gmail.com E-mail: Head, Development Department; Yandex; Moscow, Russian Federation
Abstract:
The article discusses algebraic data and knowledge representation models in modern database management systems. It is shown that despite the effectiveness of the relational model in storing large volumes of structured information, its capabilities are limited for expressing machine learning algorithms. In this regard, new approaches are proposed based on advanced algebraic models that allow formalizing the architecture and operations of neural networks in SQL. Methods of hybridization of SQL and GPU computations, application of specialized operators, combining data processing and analysis stages are considered. The results confirm the high efficiency of the developed solutions for intelligent analytics.
How to Cite:
Kuchumov I.V. Algebraic Models for Data and Knowledge Representation in Modern Database Management Systems. Computational Nanotechnology. 2024. Vol. 11. No. 1. Pp. 78–84. (In Rus.) DOI: 10.33693/2313-223X-2024-11-1-78-84. EDN: DWFJGN
Reference list:
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Фолкнер Х., Вандер Мулен В., Бейли А. Утилизация бытовых пищевых отходов: обзор сравнительных исследований // Окружающая среда и планирование E: Природа и пространство. 2019. № 2 (2). С. 503–525.
Голт Г., Чандлер Р., Ланге С. Глобальная, региональная и национальная распространенность избыточного веса и ожирения среди взрослых и детей в 1980–2013 годах: систематический анализ для исследования глобального бремени болезней 2013 года // The Lancet. 2021. № 384 (9945). С. 766–781.
Баранов А.А. Методология эффективного управления затратами в сфере общественного питания. М.: Экономика, 2015.
Luo S., Jin J., Li J. A smart fridge with an ability to enhance health and enable better nutrition // Int. J. Multimedia Ubiquitous Eng. 2009. No. 4. Pp. 66–80.
Rouillard J. The pervasive fridge. A smart computer system against uneaten food loss. In: Proceedings of the Seventh International Conference on Systems (ICONS2012) (Saint Gilles, Belgium, February 29 – March 5). 2012. Pp. 135–140.
Hanshen G., Dong W. A Content-aware Fridge based on RFID in smart home for home-healthcare. In: Proceedings of the 11th International Conference on Advanced Communication Technology (ICACT) (Gangwon-Do, Korea, February 15–18, 2009). Pp. 987–990.
Алекперов Ф.А., Гусейнов Р.А., Шарапов Ф.Б. Развитие платформы Arduino для создания системы RFID // Научно-технический вестник информационных технологий, механики и оптики. 2017. Т. 17. № 1. С. 63–66.
Давыдов А.Н., Семенов В.В., Карпов В.И. Применение протокола SPI для передачи данных в системе RFID // Технологии разработки программного обеспечения. 2018. Т. 25. № 10. С. 6–10.
Keywords:
SQL, algebraic models, database management systems, machine learning, artificial intelligence, relational model, SQL, graphics processors, hybrid computing.
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