EvolveDTree: Analyzing Student Dropout in Universities

机译：EvolveDTree：分析大学的学生辍学情况

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

Brazilian society suffers constant financial losses when higher education students disassociate from universities without completing the degree program in which they were enrolled. This is especially true when the institutions are funded through public re

机译：当高等教育学生没有完成入学的学位课程而脱离大学时，巴西社会将遭受持续的经济损失。当这些机构通过公共资金来资助时，尤其如此。

著录项

来源
《International Conference on Systems, Signals and Image Processing》|2020年|173-178|共6页
会议地点
作者
G.A.S. Santos; K.T. Belloze; L. Tarrataca; D.B. Haddad; A.L. Bordignon; D.N. Brandao;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类
关键词
Decision trees; Feature extraction; Genetic algorithms; Fires; Training; Machine learning;

机译：决策树;特征提取;遗传算法;火灾;训练;机器学习;

相似文献

外文文献
中文文献
专利

1. Integration of Data Technology for Analyzing University Dropout [J] . Amelec Viloria, Jholman Garcia Padilla, Carlos Vargas-Mercado, Procedia Computer Science . 2019,第41期

机译：集成数据技术以分析大学辍学情况
2. A framework for analyzing higher education performance: Students' satisfaction, perceived learning outcomes, and dropout intentions [J] . Lola C. Duque Quality Control and Applied Statistics . 2016,第1a2期

机译：分析高等教育表现的框架：学生的满意度，感知的学习成果和辍学意图
3. Does joining social media groups help to reduce students' dropout within the first university year? [J] . Masserini Lucio, Bini Matilde Socio-economic planning sciences . 2021,第Feba期

机译：加入社交媒体团体是否有助于减少第一个大学年内的学生辍学？
4. A data science approach to Predict the University Students at risk of semester dropout: Bangladeshi University Perspective [C] . Md Abdur Rafiq, Abir Mahamud Rabbi, Rasel Ahammad International Conference on Trends in Electronics and Informatics . 2021

机译：一种数据科学方法，以预测学期辍学风险的大学生：孟加拉国大学的观点
5. Analyzing the Dropout Phenomenon: A Qualitative Study on the Lived Early School Experiences of Students with Learning Disabilities and its Impact on High School Completion. [D] . Harris, Joy Renae. 2016

机译：分析辍学现象：对学习障碍学生的早期生活经历及其对高中毕业率的影响的定性研究。
6. Dropout and transfer paths: What are the risky profiles when analyzing university persistence with machine learning techniques? [O] . Luis J. Rodríguez-Muñiz, Ana B. Bernardo, María Esteban, -1

机译：辍学和转移途径：使用机器学习技术分析大学的持久性时有哪些风险特征？
7. An application of discrete time survival models to analyze student dropouts at a private university in Peru [O] . Pebes Trujillo Miguel Raúl 2016

机译：离散时间生存模型在秘鲁私立大学学生辍学分析中的应用

EvolveDTree: Analyzing Student Dropout in Universities

摘要

著录项

相似文献

相关主题

期刊订阅