Analysis of technical waste in low-voltage overhead electrical networks cables

Khakimov, Temurbe, Khoshimjonov, Mukhammadjon

Techscience.uz - техника фанлари долзарб масалалри · 2025-yil

Annotatsiya

This article uses clustering analysis, an important area of data mining in the field of education (Educational Data Mining - EDM). The article proposes a methodology for analyzing data on student academic performance and behavior using the K-means clustering algorithm. Within the framework of the study, students were divided into different groups (clusters) according to their similar characteristics. Each cluster was characterized by its own characteristics, including academic achievement, activity on online platforms, and the intensity of use of educational resources. The results show that the K-means algorithm allows dividing students into specific segments.The results of the study are of practical importance for the administration of educational institutions in making data-based decisions and personalizing the learning process.

Maqola ma’lumotlari
MualliflarKhakimov, Temurbe, Khoshimjonov, Mukhammadjon
JurnalTechscience.uz - техника фанлари долзарб масалалри
NashriyotЖиззах политехника институти
ISSN3030-3702, 3030-3702
Nashr sanasi2025-12-27
Jild3
Son12
Betlar145-150
TilIngliz
Ilmiy sohaTexnika
DOI10.47390/ts-v3i12y2025n16
Indeksga qo‘shilgan2026-08-26

DOI: 10.47390/ts-v3i12y2025n16 · Maqolaning asl sahifasi

Kalit so‘zlar

educational data mining (EDM), K-means clustering, student segmentation, personalized learning, learning analytics, machine learning, behavioral analytics., ta'lim sohasida ma'lumotlarni qazib olish (EDM), K-means klasterlash, talabalar segmentatsiyasi, shaxsiylashtirilgan ta'lim, o‘quv tahlili, mashinali o‘rganish, xulq-atvor tahlili.

Ilmiy soha

Texnika

Iqtibos keltirish

APAKhakimov, Temurbe, & Khoshimjonov, Mukhammadjon (2025). ANALYSIS OF TECHNICAL WASTE IN LOW-VOLTAGE OVERHEAD ELECTRICAL NETWORKS CABLES. Techscience.uz - техника фанлари долзарб масалалри, 3(12), 145-150. https://doi.org/10.47390/ts-v3i12y2025n16
GOST (OAK)Khakimov, Temurbe, Khoshimjonov, Mukhammadjon ANALYSIS OF TECHNICAL WASTE IN LOW-VOLTAGE OVERHEAD ELECTRICAL NETWORKS CABLES // Techscience.uz - техника фанлари долзарб масалалри. – 2025. – T. 3, № 12. – P. 145-150. – DOI: 10.47390/ts-v3i12y2025n16.
MLAKhakimov, Temurbe, and Khoshimjonov, Mukhammadjon. “ANALYSIS OF TECHNICAL WASTE IN LOW-VOLTAGE OVERHEAD ELECTRICAL NETWORKS CABLES.” Techscience.uz - техника фанлари долзарб масалалри, 3(12), 145-150, 2025. https://doi.org/10.47390/ts-v3i12y2025n16
ChicagoKhakimov, Temurbe, and Khoshimjonov, Mukhammadjon. “ANALYSIS OF TECHNICAL WASTE IN LOW-VOLTAGE OVERHEAD ELECTRICAL NETWORKS CABLES.” Techscience.uz - техника фанлари долзарб масалалри, 3(12), 145-150 (2025). https://doi.org/10.47390/ts-v3i12y2025n16
HarvardKhakimov, Temurbe, and Khoshimjonov, Mukhammadjon (2025) ‘ANALYSIS OF TECHNICAL WASTE IN LOW-VOLTAGE OVERHEAD ELECTRICAL NETWORKS CABLES’, Techscience.uz - техника фанлари долзарб масалалри, 3(12), 145-150. https://doi.org/10.47390/ts-v3i12y2025n16
BibTeX
@article{khakimovtemurbe2025,
  title = {ANALYSIS OF TECHNICAL WASTE IN LOW-VOLTAGE OVERHEAD ELECTRICAL NETWORKS CABLES},
  author = {Khakimov, Temurbe and Khoshimjonov, Mukhammadjon},
  journal = {Techscience.uz - техника фанлари долзарб масалалри},
  year = {2025},
  volume = {3},
  number = {12},
  pages = {145-150},
  doi = {10.47390/ts-v3i12y2025n16},
  url = {https://doi.org/10.47390/ts-v3i12y2025n16}
}

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