The Construction of Rural Poverty Alleviation Audit using Big Data Anomaly Detection

Poverty alleviation is a poverty alleviation model with Chinese characteristics. In the practice of the poverty alleviation model, the concept of poverty alleviation audit has been derived. With the continuous development of Internet information technology, the poverty alleviation audit method can no longer meet the needs of the development of modern society, and the construction of audit information is imperative. This paper adopts a research method combining theoretical analysis and practical application, and builds an intelligent system of rural poverty alleviation audit based on the method of big data anomaly detection. Various steps in the big data audit work are analyzed, including the storage and sharing of data, and the determination of data collection standards.