College poor student identification method based on user consumption data

Abstract

The invention belongs to the field of college poor student subsidization, and particularly relates to a college poor student identification method based on user consumption data, and the method comprises the steps: obtaining the consumption information of a student user; preprocessing the consumption information, and inputting the preprocessed consumption information into an SVM classification model for classification to obtain a classification result; performing clustering analysis on the classification results to obtain rating of each classification result; fusing all classification rating results of the student user to obtain a poverty degree comprehensive rating; and judging whether the student user is a poor student or not according to the final poverty degree comprehensive rating result. According to the invention, poor student assessment is carried out on student users through three kinds of data information of campus card storage, consumption and catering consumption proportion, so that the assessing result is more accurate; according to the method, the input data are classified by adopting the improved SVM classification model, so that the classification result is more accurate.

Description

technical field [0001] The invention belongs to the field of funding for impoverished students in colleges and universities, and in particular relates to a method for identifying impoverished students in colleges and universities based on user consumption data. Background technique [0002] With the improvement of the state's funding policy for poor students in colleges and universities, and the expansion of channels for poor students to obtain state assistance reasonably, the identification of poor students in colleges and universities has become a problem that has attracted widespread attention. In addition, the widespread application of campus cards in colleges and universities now allows schools to easily obtain student consumption information, and a little analysis of these data can intuitively obtain some information about students. [0003] However, how to accurately mine the consumption data of the campus card into the required poor student identification standard is...

AI Technical Summary

Problems solved by technology

Simply relying on the comparison of students' consumption through the campus card cannot accurately and objectively judge the students' daily living conditions and quality of life

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