Monitoring and Path Selection of Rural Public Service Environment Based on Data Mining Technology in the New Era.

Abstract

The basic public service infrastructure in rural regions now has a lot of issues and flaws, which results in a low efficiency of basic public service delivery and substantially impedes the growth of the rural social economy and the enhancement of farmers' quality of life. Building a smart platform for monitoring the rural public service environment, realising the growth of rural areas, creating a new socialist countryside holistically, and ensuring the sustainable, stable, and healthy development of rural society are all of great strategic importance under the new circumstances. This essay explores ways to further encourage the development of rural public service platforms. In order to choose the best course of action for rural public services in the new era, this study studies the practical problem of rural public services and, using DM (Data Mining) technology, mines the user characteristics of public service platforms. The experimental findings demonstrate that the algorithm's accuracy is 94.38%. With the use of this technique, rural public services may efficiently mine user characteristics and offer specific technical support in the modern day. Decision-makers from all walks of life have an extraordinary desire for information concealed in huge amounts of data in the information age. The advantages of combining the two are becoming more widely recognised.