Accuracy Comparison of Machine Learning Algorithms for Predictive Analytics in Higher Education-Reference-Cited by-同舟云学术

Accuracy Comparison of Machine Learning Algorithms for Predictive Analytics in Higher Education

Published:2019 Issue: Volume: Page:254-261
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
Short-container-title:

Author:

Brohi Sarfraz Nawaz,Pillai Thulasyammal Ramiah,Kaur Sukhminder,Kaur Harsimren,Sukumaran Sanath,Asirvatham David

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-23943-5_19

Reference19 articles.

1. Harel, E., Sitko, T.: Digital Dashboards: Driving Higher Education Decisions. Educause Center for Applied Research, Boulder (2003)

2. Johnson, L., Levine, A., Smith, R., Stone, S.: The 2010 Horizon report. The New Media Consortium, Austin, TX (2010). http://wp.nmc.org/horizon2010

3. Watson, H.J.: Business analytics insight: hype or here to stay? Bus. Intell. J. 16(1), 4–8 (2011)

4. Burke, M., Parnell, A., Wesaw, A., Kruger, K.: Predictive analysis of student data (2017). https://www.naspa.org/images/uploads/main/PREDICTIVE_FULL_4-7-17_DOWNLOAD.pdf

5. Shapiro, D., et al.: Completing College: A National View of Student Completion Rates – Fall 2011 Cohort (Signature Report No. 14), December 2017. National Student Clearinghouse Research Center, Herndon, VA (2017)

Cited by 9 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. A Systematic Review on Machine Learning Algorithms for Customer Satisfaction Classification in Various Fields;International Journal of Management, Technology, and Social Sciences;2023-09-04

2. Assessment of removal rate coefficient in vertical flow constructed wetland employing machine learning for low organic loaded systems;Bioresource Technology;2023-05

3. Recognizing Energy Wasting Households Using Data Mining and Incorporating the Cybersecurity Concept;Lecture Notes in Mechanical Engineering;2022-11-11

4. An Interpretable Framework for an Efficient Analysis of Students’ Academic Performance;Sustainability;2022-07-20

5. revisión sobre la predicción del rendimiento académico mediante métodos de ensamble;Ingeniería Solidaria;2022-05-22