Poverty analysis methods and poverty analysis systems

Abstract

The present invention provides a poverty analysis method and a poverty analysis system. The method comprises the following steps of obtaining the corresponding poverty data and the index data affecting poverty respectively based on the analysis angle of the analysis object; obtaining a plurality of poverty levels based on the poverty data; obtaining a plurality of index grades based on the index data; generating a poverty analysis set of the analysis object, each element of the poverty analysis set consisting of a poverty level and at least one index level; and generating a strong associationrule set based on the poverty analysis set. The poverty analysis method of the embodiment of the invention is introduced into the quantitative analysis of poverty based on the data mining of big data,this paper constructs a set of poverty analysis, analyzes the correlation between poverty rate and indicators affecting poverty by using an association algorithm, and outputs a set of strong association rules, which provides a new way to deepen the understanding of poverty and find the causes of poverty.

Description

technical field [0001] The present invention relates to the field of big data analysis, specifically a poverty analysis method and a poverty analysis system. Background technique [0002] Poverty is one of the most acute social problems in the world today, and it is also a global problem that cannot be avoided by any country. Today, hundreds of millions of people around the world still live in extreme poverty. Poverty eradication is the first goal of the United Nations' future sustainable development goals. The distribution of poverty can be well assessed by using light remote sensing and mobile Internet data, but there is still a long way to go to analyze the causes of poverty. At present, the causes of poverty are mostly analyzed from specific aspects such as society, economy, and labor force, and can also be analyzed from the perspectives of land resources and water resources. However, most of them are from the perspective of qualitative analysis, and there is a lack of...

AI Technical Summary

Problems solved by technology

The distribution of poverty can be well assessed by using light remote sensing and mobile Internet data, but there is still a long way to go to analyze the causes of poverty

At present, the analysis of the causes of poverty is mostly carried out from specific aspects such as society, economy, and labor force, and can also be analyzed from the perspectives of land resources and water resources.

Images