Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
In connection with the wide spreading of various intelligent sensors, IoT devices, smartphones, autonomous transport systems, various industrial and home automation systems, an unprecedented amount of data is generated, including those intelligently linked to each other. Linked data allows you to build complex and varied relationships between objects and subjects of the real world. Unfortunately, modern big data processing systems and machine learning models are extremely poorly suited for working with such dynamically linked data, especially in the case of real-time systems. We discuss current and future-proof approaches to working with such data using graph analysis models.
Язык оригинала | английский |
---|---|
Номер статьи | 012077 |
Журнал | Journal of Physics: Conference Series |
Том | 1864 |
Номер выпуска | 1 |
DOI | |
Состояние | Опубликовано - 20 мая 2021 |
Событие | 13th Multiconference on Control Problems, MCCP 2020 - Saint Petersburg, Российская Федерация Продолжительность: 6 окт 2020 → 8 окт 2020 |
ID: 86501616