Please use this identifier to cite or link to this item: https://repository.ucc.edu.co/handle/20.500.12494/41233
Title: Use of data mining to identify trends between variables to improve implementation of an immersive environment
Author: Zamora Musa, Ronal
Velez, Jeimy
Email autor: 
Issue Date: 2017
Keywords: Immersive environment
e-Learning
data mining
educational data mining
association rules mining
Abstract: Globally, the implementation of immersive environments for learning activities have been in constant growth which indicates that their development must improve daily. For this reason, this study identifies trends (co-occurrences) and relationships between
Publisher: Medwell Journals
metadata.dc.type: Artículo
Citation: ZAMORA R,VELEZ J. Use of data mining to identify trends between variables to improve implementation of an immersive environment. Journal of Engineering and Applied Sciences. 2017. 12. (22):p. 5844-5948. .
Other Identifiers: https://doi.org/10.36478/jeasci.2017.5944.5948
Appears in Collections:Artículos Científicos

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