A comparative analysis of machine learning techniques for student retention management-Reference-Cited by-同舟云学术

A comparative analysis of machine learning techniques for student retention management

Published:2010-11 Issue:4 Volume:49 Page:498-506
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Delen Dursun

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference46 articles.

1. What Matters in College? Four Critical Years Revisited;Astin,1993

2. Revising Tinto's interactionalist theory of student departure through theory elaboration: examining the role of organizational attributes in the persistence process;Berger;Research in Higher Education,1998

3. The role of student involvement and perceptions of integration in a causal model of student persistence;Berger;Research in Higher Education,1999

4. Random forests;Breiman;Machine Learning,2001

5. Classification and Regression Trees;Breiman,1984

Cited by 174 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictive Modeling for Early Detection of High School Dropouts Using Machine Learning Techniques;REST Journal on Data Analytics and Artificial Intelligence;2024-09-06

2. Modeling the time to dropout under phase-wise variable stress fixed cohort setup;Journal of Applied Statistics;2024-08-19

3. Student Performance Analysis: A Systematic Research;International Journal of Innovative Science and Research Technology (IJISRT);2024-08-03

4. AKADEMİK BAŞARININ VERİ MADENCİLİĞİ YÖNTEMLERİYLE TAHMİN EDİLMESİ;Mühendislik Bilimleri ve Tasarım Dergisi;2024-06-30

5. Hybrid Approach to Predicting Learning Success Based on Digital Educational History for Timely Identification of At-Risk Students;Education Sciences;2024-06-17