Design Mechanism of Targeted Poverty Alleviation Decision System Based on Data Mining Technology

The advantages of using science and technology in poverty alleviation management are increasingly obvious, making the management process easier and more transparent. This endeavor enhances the convenience of filing and the efficient and accurate use of poverty alleviation data. Based on data mining, the traditional poverty alleviation model was constructed to prevent people from being cheated. Those who are not on the poverty list are included in the poverty database. Using data mining technology, fraudulents were identified, which improved the efficiency and quality of targeted poverty alleviation and made poverty alleviation more targeted. In this context, we carried out the demand analysis of the targeted poverty alleviation decision system based on data mining and proposed the portrait model of poor households. The design mechanism of the big data analysis system can be used for targeted poverty alleviation.