Bibliometric Mining of Research Trends in Machine Learning
We present a method, including tool support, for bibliometric mining of trends in large and dynamic research areas. The method is applied to the machine learning research area for the years 2013 to 2022. A total number of 398,782 documents from Scopus were analyzed. A taxonomy containing 26 research...
| Автори: | , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
MDPI AG
2024-01-01
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| Серія: | AI |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2673-2688/5/1/12 |