Prediction Analysis Of Student Admission To Information Technology Education (ITE) Programs Using Classification Algorithm-Reference-Cited by-同舟云学术

Prediction Analysis Of Student Admission To Information Technology Education (ITE) Programs Using Classification Algorithm

Published:2022-09-10 Issue: Volume: Page:
ISSN:
Container-title:2022 Fifth International Conference on Vocational Education and Electrical Engineering (ICVEE)
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Author:

Gumba Glenn¹,Paragas Jessie R.²

Affiliation:

1. School of Technology and Computer Studies, Biliran Province State University,Naval,Biliran,Philippines

2. Eastern Visayas State University,Graduate Studies,Tacloban City Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9930114/9930120/09930443.pdf?arnumber=9930443

Reference18 articles.

1. A Unified Model of Clustering and Classification to Improve Students’ Employability Prediction

2. A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs

3. A Data Mining Approach for Identifying Predictors of Student Retention from Sophomore to Junior Year

4. CRISP-DM: towards a standard process model for data mining. Proceedings of the Fourth International Conference on the Practical Application of Knowledge Discovery and Data Mining, 29–39;wirth;Proc Fourth Int Conf Pract Appl Knowl Discov Data Min,0

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