On a data model associated with antitrust behaviors
In this paper, we established a big data model based on the data analysis method and the endogenous structure mutation theory, and judged from the dimensions of time and space. Additionally, we gave a detailed inspection and analysis among enterprises producing cement of a certain province. The resu...
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Format: | Article |
Language: | English |
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AIMS Press
2024-12-01
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Series: | Mathematical Modelling and Control |
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Online Access: | https://www.aimspress.com/article/doi/10.3934/mmc.2024036 |
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author | Weiguang Zhou Guangxin Wang Jixiao Lu Hongxin Ruan Jun Wang Rui Zhang |
author_facet | Weiguang Zhou Guangxin Wang Jixiao Lu Hongxin Ruan Jun Wang Rui Zhang |
author_sort | Weiguang Zhou |
collection | DOAJ |
description | In this paper, we established a big data model based on the data analysis method and the endogenous structure mutation theory, and judged from the dimensions of time and space. Additionally, we gave a detailed inspection and analysis among enterprises producing cement of a certain province. The results indicated that this model can identify monopolistic behaviors from multiple dimensions and, thus, improve regulatory efficiency. |
format | Article |
id | doaj-art-2b0830b0a24340e1b346c6b70f69a8fb |
institution | Kabale University |
issn | 2767-8946 |
language | English |
publishDate | 2024-12-01 |
publisher | AIMS Press |
record_format | Article |
series | Mathematical Modelling and Control |
spelling | doaj-art-2b0830b0a24340e1b346c6b70f69a8fb2025-01-24T01:02:17ZengAIMS PressMathematical Modelling and Control2767-89462024-12-014445946910.3934/mmc.2024036On a data model associated with antitrust behaviorsWeiguang Zhou0Guangxin Wang1Jixiao Lu2Hongxin Ruan3Jun Wang4Rui Zhang5Shandong Monitoring Center for Market Regulation, Jinan 250013, ChinaShandong Monitoring Center for Market Regulation, Jinan 250013, ChinaShandong Monitoring Center for Market Regulation, Jinan 250013, ChinaInformation Office, Yankuang Energy Group Company Limited, Zoucheng 273599, ChinaShandong Monitoring Center for Market Regulation, Jinan 250013, ChinaSchool of Mathematics and Information Science, Shandong Technology and Business University, Yantai 264005, ChinaIn this paper, we established a big data model based on the data analysis method and the endogenous structure mutation theory, and judged from the dimensions of time and space. Additionally, we gave a detailed inspection and analysis among enterprises producing cement of a certain province. The results indicated that this model can identify monopolistic behaviors from multiple dimensions and, thus, improve regulatory efficiency.https://www.aimspress.com/article/doi/10.3934/mmc.2024036data analysisbig data modelstructural mutationantitrust behaviors |
spellingShingle | Weiguang Zhou Guangxin Wang Jixiao Lu Hongxin Ruan Jun Wang Rui Zhang On a data model associated with antitrust behaviors Mathematical Modelling and Control data analysis big data model structural mutation antitrust behaviors |
title | On a data model associated with antitrust behaviors |
title_full | On a data model associated with antitrust behaviors |
title_fullStr | On a data model associated with antitrust behaviors |
title_full_unstemmed | On a data model associated with antitrust behaviors |
title_short | On a data model associated with antitrust behaviors |
title_sort | on a data model associated with antitrust behaviors |
topic | data analysis big data model structural mutation antitrust behaviors |
url | https://www.aimspress.com/article/doi/10.3934/mmc.2024036 |
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