An accurate management method of public services based on big data and cloud computing

Abstract Information technology and resource grouping are developing rapidly thanks to governmental policies. Large-scale data mining is a hugely practical scientific zone of “digital gold”. This not only modern-day problem, but it also necessitates the rapid growth service publics. As result, benefits information can be fully realized, efficiency improved, gap closed. Cloud computing has gained popularity due its quick accounting, limited memory requirements, efficient distribution. big was employed analyze existing state cloud-based publics in this paper, fuzzy evaluation process used accurate monitoring. Eventually, public organization path entire initiated by developed. The design value entropy services were growing exponentially, according comprehensive assessment; average government around 4.35, importance 0.98. Furthermore, control detailed data-driven precision social welfare outperformed traditional monitoring publics; suggesting that effects 7% higher, overall capacity 9% higher than compared techniques.