Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance.
The study deals with the use of data mining techniques to build a classification model to predict students' academic performance. The research indicates that the use of machine learning models and data mining methods can reveal hidden patterns and relationships in big data, making them indispen...
Saved in:
Main Authors: | Hussein, Alkattan, Alhumaima, Ali Subhi, Oluwaseun, Adelaja A., Abotaleb, Mostafa, Mijwil, Maad M., Pradeep, Mishra, Sekiwu, Denis, Bamwerinde, Wilson, Turyasingura, Benson |
---|---|
Format: | Article |
Language: | English |
Published: |
Kabale University
2024
|
Subjects: | |
Online Access: | http://hdl.handle.net/20.500.12493/2389 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Real-time Classification and Hepatitis B Detection with Evolutionary Data Mining Approach
by: Asadi Srinivasulu, et al.
Published: (2023-03-01) -
Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes
by: Mohammad Rashidmayvan, et al.
Published: (2025-02-01) -
Assessing The Effect of Wolfram Mining to The People Around Iyamuriro Mines in Muko Sub-County Rubanda District.
by: Orikiriza, Ronald
Published: (2024) -
Effect of Sand Mining on River System: A Case Study of River Rwabakazi Kabale Municipality..
by: Kamagara, Denis
Published: (2024) -
DATA MINING ALGORITHMS FOR PREDICTION OF STUDENT TEACHERS’ PERFORMANCE IN ICT: A SYSTEMATIC LITERATURE REVIEW
by: Juma Habibu Shindo, et al.
Published: (2023-09-01)