A Study On The Relationship Between The Consumption Behavior Of The Students' One-card And Academic Achievement

At present,it is the era of "big data".If the managers of colleges and universities dig deeper into the "card" data of the students,the author analyzes the correlation characteristics,manifestation and influencing factors between the data consumption behavior and the achievement of the "card" School information management and digital construction to provide scientific decision-making basis.In this paper,based on the data mining technology,through the college students "card" data cluster analysis,on the basis of the introduction of K-means algorithm for students "card" consumption data and the relationship between the results Finally,based on an improved Apriori association rule algorithm,the paper finds out the characteristics of the specific attribute between the consumption behavior of college students' "card" and its achievement.The work done in this study is as follows:(1)Summarize the research results of domestic and foreign related theories based on the background,purpose and significance of the project,and put forward the overall technical structure of this research.(2)Through data mining technology analysis,six kinds of different data mining methods are summarized,and the data mining technology implementation process including data preprocessing,data mining and data result analysis is developed.(3)the behavior of college students card cartoon and performance preprocessing : combined with a college student campus card cartoon consumer behavior,the level of the status quo,detailed description of the college student card consumer behavior and performance preprocessing process: data cleanup-data integration-data transformation--Data specification.(4)college students card data consumption clustering analysis: integrated data division method,data hierarchy analysis,data density clustering method,data grid method,data model method,focusing on K-means algorithm,college student card consumption data For clustering.(5)Based on the campus card data of college students' consumption behavior and performance correlation analysis,association rule algorithm construction,combined with an example to describe an improved asso ciation rule mining algorithm;Finally,based on the algorithm to find the student behavior and performance The correlation between.This study divides the students 'consumption level into three categories: "high","middle" and "low" by understanding the daily consumption level and habit of college students,and then analyzes the relationship between students' academic achievement,consumption level and consumption habit.The results show that students poor academic performance,to a certain extent by their irregular consumption behavior,habits,such as students do not often get up early,will affect their academic performance.