A multi-objective evolutionary algorithm-based soft computing model for educational data mining

A multi-objective evolutionary algorithm-based soft computing model for educational data mining

Purpose - The purpose of this paper is to propose a soft computing model based on multi-objective evolutionary algorithm (MOEA), namely, modified micro genetic algorithm (MmGA) coupled with a decision tree (DT)-based classifier, in classifying and optimising the students’ online interaction activiti...

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Bibliographic Details
Main Authors: Choo Jun Tan, Ting Yee Lim, Chin Wei Bong, Teik Kooi Liew
Format: Article
Language:English
Published: Emerald Publishing 2017-01-01
Series:AAOU Journal
Subjects:
classification
optimization
student achievement
educational data mining
multi-objective evolutionary algorithm
Online Access:https://www.emerald.com/insight/content/doi/10.1108/AAOUJ-01-2017-0012/full/pdf?title=a-multi-objective-evolutionary-algorithm-based-soft-computing-model-for-educational-data-mining-a-distance-learning-experience

Internet

https://www.emerald.com/insight/content/doi/10.1108/AAOUJ-01-2017-0012/full/pdf?title=a-multi-objective-evolutionary-algorithm-based-soft-computing-model-for-educational-data-mining-a-distance-learning-experience

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