MODERN TRENDS IN INTELLIGENT DATA ANALYSIS

Авторы

  • G.N. Aimbetova Senior lecturer Department of Nukus State Technical University Автор
  • N.D. Bekniyazova Assistant Department of Nukus State Technical University Автор
  • S.B. Izemetov Assistant Department of Nukus State Technical University Автор

Ключевые слова:

Data Mining, machine learning, AutoML, in-depth learning, explainable AI, graphical analysis, streaming data processing, federated learning.

Аннотация

This article explores the current trends in modern data mining, emphasizing its growing automation, complexity, and user-friendliness. Key developments such as Automated Machine Learning (AutoML), Deep Learning, Explainable AI (XAI), Graph-Based Analysis, Stream Data Processing, Federated Learning, and Quantum Computing are reshaping how data is collected, processed, and interpreted. These technologies enable more efficient, transparent, and privacy-preserving data analysis across various domains, including healthcare, finance, and social networks.

Библиографические ссылки

Radford, A. (2021). "Learning Transferable Visual Models From Natural Language Supervision."

Brown, T.(2020). "Language Models are Few-Shot Learners."

Luckin, R. (2018). "Machine Learning and Human Intelligence: The Future of Education."

Aimbetoba G.N., Ахunov F., Li А. Features of developing a crm system for medical centers using mysql, php and javascript technologies// Central asian journal of mathematical theory and computer sciences 2021год 31.01.

Опубликован

2025-05-29

Как цитировать

MODERN TRENDS IN INTELLIGENT DATA ANALYSIS. (2025). Евразийский журнал академических исследований, 5(5), 160-163. https://in-academy.uz/index.php/EJAR/article/view/6453