Business management data analysis method based on data mining Article Swipe

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Zhiyun Ouyang , Yaochenxi Xu , Xin Xie ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.56028/aemr.12.1.1084.2024

In China's social and economic development, the business management as the basic component, not only affects the practical economic development goal, but also decides the main direction of enterprise reform and innovation in the new period. Only the orderly development of business management can guarantee our country's economic development environment become more stable. Understanding the current situation of business administration in China, we can see that although the overall level is getting higher and higher, there are still many problems, especially after entering the era of big data, how to use data mining to achieve data analysis is the main topi of enterprise exploration. On the basis of understanding the current situation of business dministration enterprises in the new economic situation, combined with the enterprise management system architecture and common data analysis methods, this paper mainly studies the application of business administration enterprise management data analysis based on data mining, in order to provide an effective basis for China's social economic reform and development.

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China Business Enterprise data management Big data Business management Enterprise management Process management Computer science Enterprise information system Data mining Business administration Political science Law

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Type: article
Language: en
Landing Page: https://doi.org/10.56028/aemr.12.1.1084.2024
OA Status: diamond
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DOI: https://doi.org/10.56028/aemr.12.1.1084.2024

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Title: Business management data analysis method based on data mining

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Language: en

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Publication year: 2024

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Publication date: 2024-12-12

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Authors: Zhiyun Ouyang, Yaochenxi Xu, Xin Xie

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Landing page: https://doi.org/10.56028/aemr.12.1.1084.2024

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OA URL: https://doi.org/10.56028/aemr.12.1.1084.2024

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Concepts: China, Business, Enterprise data management, Big data, Business management, Enterprise management, Process management, Computer science, Enterprise information system, Data mining, Business administration, Political science, Law

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