Analysis of big data influence in economy using digital technologies

Khudoykulov, Said, Худойкулов, Саид, Xudoykulov, Said

Илғор иқтисодиёт ва педагогик технологиялар · 2025-yil

Annotatsiya

The rapid development of digital technologies has changed the way data is collected, stored, and analyzed. Big Data has created new opportunities and challenges for econometric research. This article discusses the integration of econometric methods with big data analysis, the methodological innovations needed, and the results of empirical economic research. The study also highlights modern tools and ideas that help econometricians manage the complexity and scale of large data sets while maintaining model accuracy and interpretability. It also highlights how the combination of traditional econometric thinking and computational methods can improve the quality and scope of economic analysis in the modern digital economy

Maqola ma’lumotlari
MualliflarKhudoykulov, Said, Худойкулов, Саид, Xudoykulov, Said
JurnalИлғор иқтисодиёт ва педагогик технологиялар
NashriyotТошкент давлат иқтисодиёт университети ҳузуридаги «Ўзбекистон иқтисодиётини ривожлантиришнинг илмий асослари ва муаммолари» илмий-тадқиқот маркази
ISSN1994-2025
Nashr sanasi2025-11-04
Jild2
Son5
Betlar840-843
TilIngliz
Ilmiy sohaIqtisodiyot
DOI10.60078/3060-4842-2025-vol2-iss5-pp840-843
Indeksga qo‘shilgan2026-08-26

DOI: 10.60078/3060-4842-2025-vol2-iss5-pp840-843 · Maqolaning asl sahifasi

Kalit so‘zlar

big data, bias, size, diversity, speed, regularization, reduction methods, LASSO regression, Ridge regression, Panel data, Time Series, Python, R, Julia, Statsmodels, scikit-learn, data. table, PySpark, causal forests, большие данные, смещение, размер, разнообразие, скорость, регуляризация, методы редукции, регрессия LASSO, гребневая регрессия, панельные данные, временные ряды, Python, R, Julia, Statsmodels, scikit-learn, data.table, PySpark, причинно-следственные леса, katta hajmdagi ma’lumotlar, bias, hajm, xilma-xillik, tezlik, regularizatsiya, qisqarish usullari, LASSO regressiyasi, Ridge regressiyasi, Panel ma’lumotlari, Time Series, Python, R, Julia, Statsmodels, scikit-learn, data.table, PySpark, sabab o‘rmonlari

Ilmiy soha

Iqtisodiyot

Iqtibos keltirish

APAKhudoykulov, Said, Худойкулов, Саид, & Xudoykulov, Said (2025). ANALYSIS OF BIG DATA INFLUENCE IN ECONOMY USING DIGITAL TECHNOLOGIES. Илғор иқтисодиёт ва педагогик технологиялар, 2(5), 840-843. https://doi.org/10.60078/3060-4842-2025-vol2-iss5-pp840-843
GOST (OAK)Khudoykulov, Said, Худойкулов, Саид, Xudoykulov, Said ANALYSIS OF BIG DATA INFLUENCE IN ECONOMY USING DIGITAL TECHNOLOGIES // Илғор иқтисодиёт ва педагогик технологиялар. – 2025. – T. 2, № 5. – P. 840-843. – DOI: 10.60078/3060-4842-2025-vol2-iss5-pp840-843.
MLAKhudoykulov, Said, Худойкулов, Саид, and Xudoykulov, Said. “ANALYSIS OF BIG DATA INFLUENCE IN ECONOMY USING DIGITAL TECHNOLOGIES.” Илғор иқтисодиёт ва педагогик технологиялар, 2(5), 840-843, 2025. https://doi.org/10.60078/3060-4842-2025-vol2-iss5-pp840-843
ChicagoKhudoykulov, Said, Худойкулов, Саид, and Xudoykulov, Said. “ANALYSIS OF BIG DATA INFLUENCE IN ECONOMY USING DIGITAL TECHNOLOGIES.” Илғор иқтисодиёт ва педагогик технологиялар, 2(5), 840-843 (2025). https://doi.org/10.60078/3060-4842-2025-vol2-iss5-pp840-843
HarvardKhudoykulov, Said, Худойкулов, Саид, and Xudoykulov, Said (2025) ‘ANALYSIS OF BIG DATA INFLUENCE IN ECONOMY USING DIGITAL TECHNOLOGIES’, Илғор иқтисодиёт ва педагогик технологиялар, 2(5), 840-843. https://doi.org/10.60078/3060-4842-2025-vol2-iss5-pp840-843
BibTeX
@article{khudoykulovsaid2025,
  title = {ANALYSIS OF BIG DATA INFLUENCE IN ECONOMY USING DIGITAL TECHNOLOGIES},
  author = {Khudoykulov, Said and Худойкулов, Саид and Xudoykulov, Said},
  journal = {Илғор иқтисодиёт ва педагогик технологиялар},
  year = {2025},
  volume = {2},
  number = {5},
  pages = {840-843},
  doi = {10.60078/3060-4842-2025-vol2-iss5-pp840-843},
  url = {https://doi.org/10.60078/3060-4842-2025-vol2-iss5-pp840-843}
}

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