Big Data Analysis Technology And Its Application In Poor Students Funding Work

Educational funding is an important way to implement educational poverty alleviation and achieve educational equity,which is related to the interests of poor students and the national education plan.At present,the work of educational funding is faced with many problems,such as low efficiency,poor timeliness and difficulty in information comparison.How to better carry out educational funding and improve the management level of educational funding is an urgent problem to solve now.This paper first analyzes the application status of educational big data at home and abroad,and the problems which are difficult to solve in the current education funding work,and puts forward the application of big data analysis technology to educational assistance work.Based on data collection,cleaning and integration,this paper applies C4.5 decision tree algorithm and the K-Means clustering algorithm based on the K value of the optimal classification number to educational assistance work,and establishes the identification model of student's poverty status by using C4.5 decision tree algorithm,which realizes the accurate discrimination of students' poverty,The K-Means clustering algorithm is applied to classify the poor students according to their characteristics and provide reference for accurate poverty alleviation and accurate funding.At the same time,this paper combines the problems existing in the current education funding work,and developed the education Targeted poverty alleviation system based on the J2 EE framework.The system improved the original educational poverty alleviation mechanism,and greatly reduced the audit cycle of poverty identification,alleviated the burden of education funding workers at all levels,and improved the work efficiency and quality of work.At the same time,the system integrates the data of the poverty alleviationdepartment,the entrance examination department and the education funding department,and realizes the accurate information push through the data comparison,and solves the problem of the data inaccuracy in the education funding work.The poverty identification model and poverty classification model established by big data technology can help achieve targeted funding.Meanwhile,education Targeted poverty alleviation system can meet the current educational funding needs and improve the efficiency education funding work.