MODERN TRENDS IN INTELLIGENT DATA ANALYSIS

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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.

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Как цитировать:

Aimbetova, G., Bekniyazova, N., & Izemetov, S. (2025). MODERN TRENDS IN INTELLIGENT DATA ANALYSIS. Евразийский журнал академических исследований, 5(5), 160–163. извлечено от https://www.in-academy.uz/index.php/ejar/article/view/53386

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.