Design and Application of Regional Economic Data Analysis System Based on Data Mining Model

Regional economy has spatial and geographical characteristics. This paper studies the regional economic development based on the data K-means clustering algorithm. This paper innovatively uses K-means clustering method to analyze the coordination of regional economy. At the same time, based on the characteristics of regional economy, this paper proposes to use the multi-Agents distributed data management mode to construct the data mining application framework of regional economic analysis. In this paper, the four-tier structure of the system is established through XML Web Service technology and XML format access. The system implements multiple database access agents to centrally manage data access. This paper introduces K-means clustering algorithm and expectation maximization algorithm for heterogeneous collection and data mining. The research found that the algorithm in this paper has the characteristics of high precision and strong innovation.