{"title":"Design of Student Employment Guidance System Based on Decision Classification Algorithm","authors":"Yong-wen Mao","doi":"10.1109/TechDev57621.2022.00014","DOIUrl":null,"url":null,"abstract":"In recent years, with the comprehensive promotion of education reform in China, gradually expanding the scale of universities and colleges, more and more students are recruited over the past years, which also brought great employment pressure to graduates. Therefore, this paper takes decision classification algorithm as the basic basis, builds decision tree, extracts classification rules, and obtains relevant information affecting employment, so as to provide certain decision support for the improvement of employment level and employment rate of college students.","PeriodicalId":171777,"journal":{"name":"2022 11th International Conference on Computer Technologies and Development (TechDev)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference on Computer Technologies and Development (TechDev)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TechDev57621.2022.00014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, with the comprehensive promotion of education reform in China, gradually expanding the scale of universities and colleges, more and more students are recruited over the past years, which also brought great employment pressure to graduates. Therefore, this paper takes decision classification algorithm as the basic basis, builds decision tree, extracts classification rules, and obtains relevant information affecting employment, so as to provide certain decision support for the improvement of employment level and employment rate of college students.