{"title":"Construction of College Student Data Information Management System Based on Association Rule Algorithm","authors":"Lei Qin","doi":"10.1109/ICVRIS.2019.00098","DOIUrl":null,"url":null,"abstract":"In view of the insufficiency that the construction of the college student data management system cannot be processed based on the evidence theory, a kind of method for the construction of the college student data management system that is dependent on the association rule algorithm is put forward in this paper, which aims to solve the problems in the construction of the college student data management system and so on. Based on the association rule algorithm, the pre-processing of the college student data management system is established. In addition, dependent on the characteristics of the association rule algorithm, the related centroid is calculated, and the centroid is taken as the representative information of the cluster. The basic probability assignment is carried out in accordance with the generalized triangular fuzzy membership function, and the evidence is formed after the assignment, thus completing the construction of the college student data management system. The simulation results show that the method put forward in this paper is effective and can be used to carry out reasonable evaluation on the college student data management system.","PeriodicalId":294342,"journal":{"name":"2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"211 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRIS.2019.00098","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In view of the insufficiency that the construction of the college student data management system cannot be processed based on the evidence theory, a kind of method for the construction of the college student data management system that is dependent on the association rule algorithm is put forward in this paper, which aims to solve the problems in the construction of the college student data management system and so on. Based on the association rule algorithm, the pre-processing of the college student data management system is established. In addition, dependent on the characteristics of the association rule algorithm, the related centroid is calculated, and the centroid is taken as the representative information of the cluster. The basic probability assignment is carried out in accordance with the generalized triangular fuzzy membership function, and the evidence is formed after the assignment, thus completing the construction of the college student data management system. The simulation results show that the method put forward in this paper is effective and can be used to carry out reasonable evaluation on the college student data management system.