Strategic Analysis of Digital Economy Based on Data Mining to Promote the Development of Industrial Economy

被引:0
作者
Li, Jianwei [1 ]
Lin, Juntai [1 ]
机构
[1] Guangdong Univ Technol, Guangzhou, Peoples R China
来源
APPLICATIONS OF DECISION SCIENCE IN MANAGEMENT, ICDSM 2022 | 2023年 / 260卷
关键词
Digital mining; Digital economy; Association rules; Clustering analysis;
D O I
10.1007/978-981-19-2768-3_52
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Process industry, as a basic part of social and economic development, will use advanced manufacturing control technology to innovate industrial production system in practice, so as to protect national interests and economic competitiveness. With the development trend of economic globalization, the contradiction between energy supply and demand is becoming more and more obvious. Saving resources has become the core content of practical development and also an important strategic policy for every country to develop economy. Especially for the metallurgical industry with large energy consumption, how to effectively control energy consumption during production has a certain practical significance, which can not only reduce the production cost of enterprises, but also enhance the level of competition and adaptability of enterprises. Therefore, this paper focuses on aluminum industry production in the era of digital economy as the research direction, analyzing how to use data mining to study the energy consumption in the production process of aluminum industry, clarifying the hidden rules and deriving the main factors affecting energy consumption. Based on energy saving and consumption reduction, the paper aims to improve the ability of enterprises to create economic benefits in the global economic environment.
引用
收藏
页码:541 / 549
页数:9
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