Analysis On The Data Mining Of Undergraduates' Repast

With the rapid development of economy and the improvement of the material living standard,the physical quality of college students is decreasing every year,in order to protect the students ' health,many colleges and universities take the measures of adding physical education curriculum and compulsory drill,but the effect is not obvious,the reasons that affect students ' physique are manifold,A healthy diet is also a key factor.To this end,this paper from the campus card to reflect the track of students ' activities in the background management database to obtain the data of the students dining consumption,the students in the school dining consumption behavior of the study,to ensure whether the students eat meals a reasonable behavior,whether students develop good eating habits,At the same time,according to the student's dining expenses and canteen's meal price,excavates the impoverished student's consumption characteristic.This paper uses the campus card consumption data for all undergraduate students in a semester of real dining consumption data,firstly,the data is cleaned by the stored procedure in the database,then the Association mining in the data mining technology is used to discover the students ' dining Rules through association rule algorithm,and the method of establishing the Multi attribute association matrix analysis is selected.To realize the association mining analysis of the data of the campus card,finally,the data mining test is analyzed in the Excel Data Mining analysis platform and the RapidMiner data mining analysis platform.The results show that: the students do not have good eating habits,more than 80% of the students do not have the habit of eating breakfast,students are not aware of the harm of eating irregular.In this paper,the low consumption students and schools identified with the data of poor students,can be used as a school to select the important basis for poor students.The data processing technology and data mining technology used in this paper can improve the data processing speed,save the response time and ensure the accuracy of the mining results.