An Efficient Model for Predicting Student Dropout Using Data Mining and Machine Learning Techniques

International Journal of Innovative Technology and Exploring Engineering - India
doi 10.35940/ijitee.i1155.0789s219
Full Text
Abstract

Available in full text

Date
Authors

Unknown

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Related search

Analyzing and Predicting Student Academic Achievement Using Data Mining Techniques

English

Malware Detection System Using Machine Learning and DATA-Mining Techniques

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2019English

Optimum Crop Prediction Using Data Mining and Machine Learning Techniques

International Journal for Research in Applied Science and Engineering Technology
2019English

Student Intervention System Using Machine Learning Techniques

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2019English

An Efficient Ad-Click Prediction System Using Machine Learning Techniques

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2020English

Efficient Multi-Method Rule Learning for Pattern Classification Machine Learning and Data Mining

English

Predicting the Presence of Heart Diseases Using Comparative Data Mining and Machine Learning Algorithms

International Journal of Computer Applications
2020English

Advanced Coherent System for Predicting Cardiac Risks Using Data Mining Techniques

International Journal of Innovative Technology and Exploring Engineering
Mechanics of MaterialsElectronic EngineeringCivilStructural EngineeringElectricalComputer Science
2019English

Predicting Student Failure in University Examination Using Machine Learning Algorithms

International Journal of Innovative Technology and Exploring Engineering
Mechanics of MaterialsElectronic EngineeringCivilStructural EngineeringElectricalComputer Science
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy