Education Targeted Poverty Alleviation Research on Promoted Based on Big Data

Cheng-hui YANG, Zhi-yu DENG, Xu DI, Yu-mei LI, Chun-hua MA

Abstract


Combined with the national policy, in large data quantitative integration mode, the multivariate analysis reasons of poor students difficult to avoid the Matthew effect, combined with the northwest university for nationalities in Lanzhou data in colleges and universities, such as python crawler model, student module provides assistance to precise design method of concrete.

Keywords


Big data, Education poverty alleviation, Python, Quantitative score model, Multivariate analysis


DOI
10.12783/dtssehs/iceme2019/29630

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