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Data Mining Analysis Of College Students' Card Consumption Behavior And Performance

Posted on:2020-05-30Degree:MasterType:Thesis
Country:ChinaCandidate:Y W GaoFull Text:PDF
GTID:2428330590459587Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the rapid development of smart card in Colleges and universities,the number of daily use of smart card is quite large.The database stores the number of use of smart card in the form of data.Through the analysis of the use information of one-card,we can provide guidance for campus construction.In the process of using the card,a variety of data will be generated.These data can reflect the situation of college students to a certain extent.Although there have been studies to analyze these data,they have not been in-depth,but remain at the level of consumption data and consumption structure.This study tries to find the correlation between consumption and achievement by analyzing the relationship between consumption and achievement.The research topic of this study is of great significance to the school league committee,student office and teaching office.In this study,the study of consumption habits is mainly based on the situation of getting up early and eating breakfast,aiming at the breakfast consumption data and achievement data of students,to discuss the relationship between college students' performance and consumption.We extract card consumption data and academic management system performance data from ORACLE and MS SQL SERVER databases,and comprehensively process the consumption data and performance data.Based on the huge amount of consumption data,we must preprocess them first and extract the appropriate sample size.The mining technologies of classification,Association and clustering are analyzed and improved,and the performance data and consumption data are analyzed and studied mainly by association algorithm.K-Means++ algorithm is used to cluster the consumption data and summarize the consumption level and consumption habits of College students.Based on Boolean operation and sparse matrix,this paper improves the shortcomings of Apriori algorithm to improve the efficiency of calculating consumption data and performance data,so as to find the correlation between them more effectively.The research involved in this study is relatively new and of great significance,which can better help schools to make scientific decisions and management.This research deeply studies the consumption data of one-card system and the student achievement data provided by the Educational Administration.This research mainly focuses on the study and analysis of students'breakfast consumption habits,explores the relationship between College Students' performance and consumption,summarizes its rules,and provides a scientific and effective basis for school management decision-making.
Keywords/Search Tags:Campus Card, Student Achievement, Consumer Behavior
PDF Full Text Request
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