Application of Data Mining Technology in Regional Economic Analysis

Abstract

AbstractIn recent years, data mining technology has attracted widespread attention. The process of data mining is to quickly discover knowledge that is not obvious but still valuable in the data. This process is an advanced process. The use of DMT (data mining technology) for law extraction, DM (data mining), sorting and analysis can provide an effective decision-making reference. The rapid advancement of technology enables organizations to accumulate large amounts of data. However, extracting useful information has become a huge challenge. The imbalance of RED (regional economic development) has always attracted people's attention. With the start of the western development and the shift of the national regional policy focus, our country's RD (regional development) has set off a climax. RED research has also entered a new stage. RED strategy and regional planning have become the focus of research. The main content of this paper is the application research of DMT in regional economic analysis. This article mainly uses a combination of quantitative and qualitative methods for experiments. First, the analysis of the current situation of the domestic regional economy is carried out. The results show that the east is still the strongest economic region in our country. The GDP of the east accounts for 49.7% of the country. The overall economic strength of the west is weaker than that of the east and central, but its economic development speed is at the leading level in the country, and the GDP growth rate has reached 20.5% over the previous year. Secondly, the main factors affecting the regional economy are labor force and natural resources. Finally, the application effect of DMT (data mining technology) in regional economic analysis is analyzed. The results showed that 74 people believed that data mining technology could optimize the development structure of the regional economy, 52 people suggested that data mining technology can affect the factors of regional economic development, and the remaining 43 and 31 people respectively believed that the use of data mining technology could weaken distance cost and Reduce information asymmetry.KeywordsData mining technologyCluster analysisRegional economyMacro analysis