The educational content and methods for big data courses including big data cluster analysis
Serik M. Nurbekova G. Mukhambetova M. Zulpykhar Z.
2022World Institute for Engineering and Technology Education
World Transactions on Engineering and Technology Education
2022#20Issue 3203 - 208 pp.
Big data technology is currently one of the most dynamically developing areas in information technology. In recent years, big data have been particularly visible in global economic and technological development. Keeping pace with the global trends in big data, Kazakhstan has come up with its strategic agenda until 2030. Along with the processing of unstructured data, the study of big data technology for the management of industrial and social processes is a priority. In order to train competitive specialists in big data, educational and methodological foundations for teaching large amounts of data in universities have to be developed. Therefore, the study presented here has been focused on developing the required educational and methodological support for the processing and analysis of big data with the goal of offering optimal solutions for the implementation of analysis through clustering of big data. In the scope of the article is described the algorithm of selection of number of clusters for the algorithm k-means and its course. The method of implementing the algorithm is universal, and the code can be changed according to one’s needs.
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L.N. Gumilyev Eurazian National University, Nur-Sultan, Kazakhstan
Kh. Dosmukhamedov Atyrau University, Atyrau, Kazakhstan
L.N. Gumilyev Eurazian National University
Kh. Dosmukhamedov Atyrau University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026