Design and research of one-stop system of rural public service governance based on Big data technology
Bo Zhang, Zhiqin Zhang · 2023
As an important content of rural governance, the modernization of rural public service governance is the need to complement the weaknesses of rural basic public service and improve the quality of public service. It is also an important basis for ensuring and improving people's livelihood and realizing rural revitalization. After clarifying the key governance objects and supply list of rural public services, the intelligent and digital construction of rural public service governance is well promoted, and the multi-subject collaborative governance of rural public service governance is realized. In this paper, an optimized Apriori algorithm is proposed for the massive data generated by the existing rural public service governance "one-stop" system. The optimized Apriori algorithm solves the problem that the efficiency of massive data mining in the system is not affected by the growth of massive data volume. The performance of the improved algorithm becomes more prominent when the support degree is less, and the advantages become more obvious.