2022
DOI: 10.1155/2022/6439315
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Research and Application of the Data Mining Technology in Economic Intelligence System

Abstract: In the context of the rapid development of the modern economy, information is particularly important in the economic field, and information determines the decision-making of enterprises. Therefore, how to quickly dig out information that is beneficial to the enterprise has become a crucial issue. This topic applies data mining technology to economic intelligent systems and obtains the data object model of economic intelligent systems through the integration of information. This article analyzes the interrelati… Show more

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Cited by 5 publications
(5 citation statements)
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References 22 publications
(26 reference statements)
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“…Data integration involves the data combination from many origins into a sole and integrated pattern [36]. This includes cleaning and converting the data, as well as resolving any irregularities or conflicts that may exist between the different sources [37]. The objective of data integration is to make the data more useful and meaningful for analysis and decision-making [38].…”
Section: Multidata Integration Techniquesmentioning
confidence: 99%
“…Data integration involves the data combination from many origins into a sole and integrated pattern [36]. This includes cleaning and converting the data, as well as resolving any irregularities or conflicts that may exist between the different sources [37]. The objective of data integration is to make the data more useful and meaningful for analysis and decision-making [38].…”
Section: Multidata Integration Techniquesmentioning
confidence: 99%
“…H. Hassani et.al made a review of data mining applications in crime [6]. Q. Chang and J. Hu proposed research about the applications of the Data Mining Technology in Economic Intelligence System [5]. L. Ren and Y. Chen, has performed the research on the application of Data Mining Technology in Military Audit which discusses about the economic, military, criminal and investigational applications of data mining [4].…”
Section: Literature Surveymentioning
confidence: 99%
“…In enhancing the monitoring and control of salt quality, technologies like data mining and statistical analysis are highly valuable [8]. These methods assist in categorizing salt based on its quality, which in turn helps identify salt that meets standards and can be used safely.…”
Section: Introductionmentioning
confidence: 99%