Development of a Comprehensive Technology for Analyzing Data on the Used Car Market

In today's information society, organizations face a huge amount of data that requires analysis and intelligent technologies to make informed decisions. In this paper, the authors consider the problem of analyzing the used car market using big and open data technologies. The used car market has...

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Главные авторы:	Lapina, M. A., Лапина, М. А.
Формат:	Статья
Язык:	English
Опубликовано:	Springer Science and Business Media Deutschland GmbH 2025
Темы:	Data mining Region analysis K-means Power BI Processing technology
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/29854
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id	ir-123456789-29854
record_format	dspace
spelling	ir-123456789-298542025-03-03T11:54:45Z Development of a Comprehensive Technology for Analyzing Data on the Used Car Market Lapina, M. A. Лапина, М. А. Data mining Region analysis K-means Power BI Processing technology In today's information society, organizations face a huge amount of data that requires analysis and intelligent technologies to make informed decisions. In this paper, the authors consider the problem of analyzing the used car market using big and open data technologies. The used car market has characteristics characterized by heterogeneity and dynamic demand depending on the region. This problem is relevant and important not only for companies involved in producing and selling cars but also for potential buyers. The authors developed a comprehensive data analysis technique based on the Python programming language and the K-means clustering algorithm in the research process. In the article, the authors described a comprehensive technology for analyzing the used car market, including various analysis methods, such as prices, offers, and competition. The proposed comprehensive technology includes various tools and programs for collecting, processing, and analyzing data. These methods can be combined into a single system, providing a more complete picture of the market and making more informed decisions. The structure of the study reflects an independent approach to the topic under study based on open data and research by Russian and foreign scientists. It should be noted that the study is based on a large amount of analytical data obtained from reliable sources and tools that confirm the conclusions formulated in this study. 2025-03-03T11:53:58Z 2025-03-03T11:53:58Z 2025 Статья Lapina M., Kulikova S., Kireenkov V., Kumar S. Development of a Comprehensive Technology for Analyzing Data on the Used Car Market // Lecture Notes in Networks and Systems. - 2025. - 1122. - pp. 503 - 514. - DOI: 10.1007/978-981-97-7426-5_38 https://dspace.ncfu.ru/handle/123456789/29854 en Lecture Notes in Networks and Systems application/pdf Springer Science and Business Media Deutschland GmbH
institution	СКФУ
collection	Репозиторий
language	English
topic	Data mining Region analysis K-means Power BI Processing technology
spellingShingle	Data mining Region analysis K-means Power BI Processing technology Lapina, M. A. Лапина, М. А. Development of a Comprehensive Technology for Analyzing Data on the Used Car Market
description	In today's information society, organizations face a huge amount of data that requires analysis and intelligent technologies to make informed decisions. In this paper, the authors consider the problem of analyzing the used car market using big and open data technologies. The used car market has characteristics characterized by heterogeneity and dynamic demand depending on the region. This problem is relevant and important not only for companies involved in producing and selling cars but also for potential buyers. The authors developed a comprehensive data analysis technique based on the Python programming language and the K-means clustering algorithm in the research process. In the article, the authors described a comprehensive technology for analyzing the used car market, including various analysis methods, such as prices, offers, and competition. The proposed comprehensive technology includes various tools and programs for collecting, processing, and analyzing data. These methods can be combined into a single system, providing a more complete picture of the market and making more informed decisions. The structure of the study reflects an independent approach to the topic under study based on open data and research by Russian and foreign scientists. It should be noted that the study is based on a large amount of analytical data obtained from reliable sources and tools that confirm the conclusions formulated in this study.
format	Статья
author	Lapina, M. A. Лапина, М. А.
author_facet	Lapina, M. A. Лапина, М. А.
author_sort	Lapina, M. A.
title	Development of a Comprehensive Technology for Analyzing Data on the Used Car Market
title_short	Development of a Comprehensive Technology for Analyzing Data on the Used Car Market
title_full	Development of a Comprehensive Technology for Analyzing Data on the Used Car Market
title_fullStr	Development of a Comprehensive Technology for Analyzing Data on the Used Car Market
title_full_unstemmed	Development of a Comprehensive Technology for Analyzing Data on the Used Car Market
title_sort	development of a comprehensive technology for analyzing data on the used car market
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2025
url	https://dspace.ncfu.ru/handle/123456789/29854
work_keys_str_mv	AT lapinama developmentofacomprehensivetechnologyforanalyzingdataontheusedcarmarket AT lapinama developmentofacomprehensivetechnologyforanalyzingdataontheusedcarmarket
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Development of a Comprehensive Technology for Analyzing Data on the Used Car Market

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