MODERN TRENDS IN INTELLIGENT DATA ANALYSIS

Mualliflar

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

;

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

Abstrak

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.

Iqtiboslar

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.

Nashr qilingan

2025-05-29

Iqtibos keltirish tartibi

MODERN TRENDS IN INTELLIGENT DATA ANALYSIS. (2025). Yevroosiyo Akademik Tadqiqotlar Jurnali, 5(5), 160-163. https://in-academy.uz/index.php/EJAR/article/view/6453