Research On The Poverty Level Of College Students' Precise Funding Based On Big Data

In recent years,with the continuous development and construction of digital campus,information campus has brought great convenience to students' lives.Campus card as a part of the digital campus construction,in the campus,we only need a card to solve all the problems of life and learning.It brings us great convenience.At the same time,the campus card also produces a lot of data,which records the way we consume and study at school.These data stored in various department management systems have great research value.With the development of big data technology,the technology that can deal with massive data is becoming more and more mature.All trades and professions are using uncle to transform traditional industries.How to apply the big data thinking to the aid work of the poor students in Colleges and universities requires us not only to change the thinking of financing,but also to use advanced technology to improve and innovate the traditional methods.Through the big data technology,the excavation and analysis of a large amount of behavioral data generated by students can help the managers to make decisions.The author analyzes the existing methods and classification models for the poor students.Based on the traditional data mining technology for the poor students,the main reason is to choose the campus card consumption data to do research,and the data sources are relatively simple.The purpose of this study is based on the large amount of data produced by students at school,mainly including one card consumption data,library data,bedroom door access data and performance data.Through modeling,students can be divided into different types of poverty.Finally,by comparing with the traditional method of data mining in one card,we get a better classification method for poor students in the era of big data.