Empowerment of Digital Technology to Improve the Level of Agricultural Economic Development based on Data Mining

Rural economic development is of the great significance to local regional economic development and Rural Revitalization Strategy. The main task of multi-scale data mining has two aspects, namely, multi-scale realization of data and multi-scale discovery of knowledge: the former belongs to data preprocessing, which can be realized by data scale division. The latter needs to improve the specific mining technology, excavate knowledge in the multi-scale representation of data, analyze and deduce the relationship between knowledge. How to find the valuable information in the mass data and the security risks in the network is one of the problems to be solved in the information processing technology. The clustering analysis method in data mining technology is to cluster the data with high similarity according to the similarity measurement standard. Therefore, the data objects in the same cluster are more similar to those in different clusters. With the prevalence of supply side reform and the implementation of Rural Revitalization Strategy, the agriculture of the primary industry takes advantage of the situation. From the perspective of urban-rural system, rural development plays an important role in the growth of cities and regions. This paper uses data mining technology to improve the level of agricultural economic development.