Algorithm for classifying documents of a scientific and educational organization using machine learning methods

Abduvalieva, Zebiniso, Абдувалиева, Зебинисо, Abduvaliyeva, Zebiniso

Рақамли иқтисодиёт · 2025-yil

Annotatsiya

Intelligent analysis is used in almost all areas of technology. Machine learning does not stand still and is constantly evolving. Given the transition in modern society to electronic document management, the main assumption in them is that the training and test data must be in the same feature space and follow the same distribution. In real applications, this is not always the case. In this case, the role of transfer learning can be distinguished since transfer learning docs not make the same distributional assumptions as traditional machine learning and reduces dependencies on the target task and training data, and has a wider knowledge migration. The article proposes a transfer learning algorithm for document categorization based on clustering. An experiment is also used to test the algorithm. The experiment shows that the algorithm proposed in this article has its advantages.

Maqola ma’lumotlari
MualliflarAbduvalieva, Zebiniso, Абдувалиева, Зебинисо, Abduvaliyeva, Zebiniso
JurnalРақамли иқтисодиёт
NashriyotРақамли иқтисодиёт тадқиқотлари маркази
Nashr sanasi2025-01-27
Jild1
Son1
Betlar90-97
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-08-27

Maqolaning asl sahifasi

Kalit so‘zlar

трансферное обучение, машинное обучение, классификация документов, интеллектуальный анализ данных, пространственная кластеризация на основе, transfer learning, machine learning, classification of documents, data mining, based spatial clustering, transfer o'rganish, mashina o'rganish, hujjatlarni tasniflash, ma'lumotlar konchilik, fazoviy klasterlashtirishga asoslangan

Ilmiy soha

Texnika

Iqtibos keltirish

APAAbduvalieva, Zebiniso, Абдувалиева, Зебинисо, & Abduvaliyeva, Zebiniso (2025). Algorithm for classifying documents of a scientific and educational organization using machine learning methods. Рақамли иқтисодиёт, 1(1), 90-97. https://inlibrary.uz/index.php/digital-economy/article/view/64108
GOST (OAK)Abduvalieva, Zebiniso, Абдувалиева, Зебинисо, Abduvaliyeva, Zebiniso Algorithm for classifying documents of a scientific and educational organization using machine learning methods // Рақамли иқтисодиёт. – 2025. – T. 1, № 1. – P. 90-97.
MLAAbduvalieva, Zebiniso, Абдувалиева, Зебинисо, and Abduvaliyeva, Zebiniso. “Algorithm for classifying documents of a scientific and educational organization using machine learning methods.” Рақамли иқтисодиёт, 1(1), 90-97, 2025. https://inlibrary.uz/index.php/digital-economy/article/view/64108
ChicagoAbduvalieva, Zebiniso, Абдувалиева, Зебинисо, and Abduvaliyeva, Zebiniso. “Algorithm for classifying documents of a scientific and educational organization using machine learning methods.” Рақамли иқтисодиёт, 1(1), 90-97 (2025). https://inlibrary.uz/index.php/digital-economy/article/view/64108
HarvardAbduvalieva, Zebiniso, Абдувалиева, Зебинисо, and Abduvaliyeva, Zebiniso (2025) ‘Algorithm for classifying documents of a scientific and educational organization using machine learning methods’, Рақамли иқтисодиёт, 1(1), 90-97. https://inlibrary.uz/index.php/digital-economy/article/view/64108
BibTeX
@article{abduvalievazebiniso2025,
  title = {Algorithm for classifying documents of a scientific and educational organization using machine learning methods},
  author = {Abduvalieva, Zebiniso and Абдувалиева, Зебинисо and Abduvaliyeva, Zebiniso},
  journal = {Рақамли иқтисодиёт},
  year = {2025},
  volume = {1},
  number = {1},
  pages = {90-97},
  url = {https://inlibrary.uz/index.php/digital-economy/article/view/64108}
}

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